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Principles of Biostatistics【電子書籍】[ Marcello Pagano ]

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<p><em><strong>Principles of Biostatistics, Third Edition</strong></em> is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life. Thoroughly revised and updated, this third edition includes a new chapter introducing the basic principles of Study Design, as well as new sections on sample size calculations for two-sample tests on means and proportions, the Kruskal-Wallis test, and the Cox proportional hazards model.</p> <p>Key Features:</p> <ul> <li>Includes a new chapter on the basic principles of study design.</li> <li>Additional review exercises have been added to each chapter.</li> <li>Datasets and Stata and R code are available on the book’s website.</li> </ul> <p>The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 13,353円

Using R for Biostatistics【電子書籍】[ Thomas W. MacFarland ]

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<p>This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work <em>Introduction to Data Analysis and Graphical Presentation in Biostatistics with R,</em> the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research.</p> <p>A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance.</p> <p>To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots.</p> <p>A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 13,978円

Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials【電子書籍】

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<p>This volume contains a selection of chapters base on papers presented at the Fourth Seattle Symposium in Biostatistics: Clinical Trials. The symposium was held in 2010 to celebrate the 40th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by David DeMets and Susan Ellenberg and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important clinical trials research, such as biomarkers, meta-analyses, sequential and adaptive clinical trials, and various genetic bioinformatic techniques. This volume will be a valuable reference for researchers and practitioners in the field of clinical trials.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 18,231円

Computational Intelligence Methods for Bioinformatics and Biostatistics 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers【電子書籍】

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<p>This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015.</p> <p>The 21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in bioinformatics, systems biology and medical informatics discussing cutting edge methodologies and accelerate life science discoveries, as well as novel challenges with an high impact on molecular biology and translational medicine.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,076円

Computational and Methodological Statistics and Biostatistics Contemporary Essays in Advancement【電子書籍】

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<p>In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes.</p> <p>Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia andindustry.</p> <p>Computational and Methodological Statistics and Biostatistics is composed of three main themes:</p> <p>? Recent developments in theory and applications of statistical distributions;</p> <p>? Recent developments in supervised and unsupervised modelling;</p> <p>? Recent developments in biostatistics;</p> <p>and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 18,231円

Computational Intelligence Methods for Bioinformatics and Biostatistics 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6?8, 2018, Revised Selected Papers【電子書籍】

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<p>This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics., CIBB 2018, held in Caparica, Portugal, in September 2018. The 32 revised full papers were carefully reviewed and selected from 51 submissions. The papers present current trends at the edge of computer and life sciences, the application of computational intelligence to a system and synthetic biology and the consequent impact on innovative medicine were presented. Theoretical and experimental biologists also presented novel challenges and fostered multidisciplinary collaboration aiming to blend theory and practice, where the founding theories of the techniques used for modelling and analyzing biological systems are investigated and used for practical applications and the supporting technologies.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,076円

Encyclopaedia of Bioinformatics, Biostatistics and Biomechanics【電子書籍】[ Pradumna Singh ]

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<p>This publication titled "Encyclopaedia of Bioinformatics, Biostatistics and Biomechanics" is an initiative to deal with the subject in its totality. Bioinfomiatics is the process of examining 'mining' test results, using a range of statistical techniques and pattern recognition algorithms, from large numbers of samples to find potentially useful information. A capture molecule normally recognizes, in a specific manner, a target molecule through interactions between the two most commonly on the three-dimensional surface structure of the target molecule. This encyclopaedia is really unique in terms of coverage, scope, elaboration, usefulness and futuristic perspective. It will provide readers with a user-friendly approach towards acquainting themselves with various select traditional and newly emerging fields of biosciences. This encyclopaedia is of great contemporary relevance. It will serve as a reference book on the said subject and tends to acquaint readers with both in-depth and extensive knowledge of the subject concerned. This encyclopaedia is a unique initiative to provide the most comprehensive coverage to the subject area in question. This encyclopedia mainly focuses on the following areas: Bioinformatics Neuroinformatics; Bioinformatic Sequence Alignment and Analysis and Related Software; Biostatistics and Mathematical Biology; Biomedicine and Relevance to Health Science Research; Biomechanics; Glossary, etc.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 26,706円

Biostatistics and Epidemiology A Primer for Health and Biomedical Professionals【電子書籍】[ Sylvia Wassertheil-Smoller ]

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<p>Since the publication of the first edition, <em>Biostatistics and Epidemiology</em> has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. <em>Biostatistics and Epidemiology</em> was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it." Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 9,723円

Biostatistics A Guide to Design, Analysis and Discovery【電子書籍】[ Ronald N. Forthofer ]

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<p><em>Biostatistics, Second Edition,</em> is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods.</p> <p>This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics.</p> <p>The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment. This updated edition contains over 40% new material with modern real-life examples, exercises, and references, including new chapters on Logistic Regression, Analysis of Survey Data, and Study Designs.</p> <p>The book is recommended for students in the health sciences, public health professionals, and practitioners.</p> <ul> <li>Over 40% new material with modern real-life examples, exercises and references</li> <li>New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs</li> <li>Introduces strategies for analyzing complex sample survey data</li> <li>Written in a conversational style more accessible to students with real data</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 9,257円

Biostatistics Explored Through R Software: An Overview【電子書籍】[ Vinaitheerthan Renganathan ]

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<p>The term Statistics and Data is now familiar to most of us even though we are related to different fields such as Clinical, Biology, Business & Management, Engineering and Physical Sciences. Statistical methods are being applied in different fields including the emerging fields such as Machine Learning, Natural Language Processing and Artificial Intelligence because of the fact that each field deals with data in one form or the other.</p> <p>Statistical methods help decision makers to arrive at evidence based decisions by collecting, analyzing and interpreting the data. Biostatistics is a branch of statistics which is applied in the biomedical domain and it includes clinical and biological fields.</p> <p>Biostatistical methods include descriptive, inferential and Statistical modeling tools. Descriptive statistical tools help us to draw information and summary about the data in terms of measures of central tendency, measures of dispersion, measure of skewness and underlying probability distributions. Inferential Statistical tools help us to estimate, test the hypothesis and draw inferences about the parameters of the data. Statistical modeling tools help us to study and estimate the relationship between the variables.</p> <p>The book starts with the introduction of concepts in biostatistics and moves on to explore descriptive and inferential statistical tools using R Open Source Software. It then explores statistical modeling tools such as regression analysis and survival analysis.</p> <p>The book also covers the role of Biostatistics in the clinical trials process. Clinical trials are scientific experiments which are conducted in different phases. It involves testing of drugs and clinical procedures for treating different diseases and conditions among a sample of participants before rolling out in the market. Biostatistics tools help clinical trial researchers in deciding about the study design, sample size and analytical methods.</p> <p>The data set used in the book can be downloaded from Author's Website.</p> <p>Vinaitheerthan Renganathan</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 650円

Computational Intelligence Methods for Bioinformatics and Biostatistics 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4?6, 2019, Revised Selected Papers【電子書籍】

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<p>This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019.</p> <p>The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,076円

Biostatistics Using JMP A Practical Guide【電子書籍】[ Trevor Bihl ]

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<p>Analyze your biostatistics data with JMP!</p> <p>Trevor Bihl's <em>Biostatistics Using JMP: A Practical Guide</em> provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data.</p> <p>The first biostatistical book to focus on software, <em>Biostatistics Using JMP</em> discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis.</p> <p>Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, <em>Biostatistics Using JMP</em> provides a practical approach to using JMP to solve your biostatistical problems.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,388円

Advances in Bioinformatics, Biostatistics and Omic Sciences【電子書籍】[ Luigi Donato ]

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<p>Bioinformatics, and by extension omic sciences ? the collective disciplines that are dependent on the use of extensive datasets of biological information ? present a challenge of data management for researchers all over the world. Big data collected as part of research projects and experiments can be complex, with several kinds of variables involved. Coupled with continuously changing bioinformatics and information technology tools, there is a need to bring a multidisciplinary approach into these fields. Advances in Bioinformatics, Biostatistics and Omic Sciences attempts to realize an integrated approach between all omic sciences, exploring innovative bioinformatics and biostatistical methodologies which enable researchers to unveil hidden sides of biological phenomena. This volume presents reviews on the following topics which give a glimpse of recent advances in the field:- New Integrated Mitochondrial DNA Bioinformatics Pipeline to Improve Quality Assessment of Putative Pathogenic Variants from NGS Experiments - Variant Calling on RNA Sequencing Data: State of Art and Future Perspectives - An innovative Gene Prioritization Pipeline for WES analyses - New Integrated Differential Expression Approach for RNA-Seq Data Analysis - Innovations in Data Visualization for Straightforward Interpretation of Nucleic Acid Omics Outcomes This volume serves as a guide for graduate students in bioinformatics as well as researchers planning new projects as a part of their professional and academic activities.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 7,162円

Encyclopaedia of Biostatistics, Bioinformatics and Computer Applications【電子書籍】[ Rajneesh Narayan ]

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<p>Biostatistics is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine and agriculture; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results. Biostatistical reasoning and modelling were of critical importance to the foundation theories of modern biology. ln larger universities where both a statistics and a biostatistics department exist, the degree of integration between the two departments may range from the bare minimum to very close collaboration. ln general, the difference between a statistics program and a biostatistics one is twofold: (i) statistics departments will often host theoretical/methodological research which arc less common in biostatistics programs and (ii) statistics departments have lines of research that may include biomedical applications but also other areas such as industry (quality control), business and economics and biological areas other than medicine. Applications for machine learning include machine perception, computer vision, natural language processing, syntactic pattern recognition, search engines, medical diagnosis, bioinformatics, brain-machine interfaces and cheminformatics, detecting credit card fraud, stock market analysis, classifying DNA sequences, speech and handwriting recognition, object recognition in computer vision, game playing, software engineering, adaptive websites, robot locomotion, and structural health monitoring. This book provides deep insight to various dimensions of issues relating to development of this subject.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 40,592円

Computational Intelligence Methods for Bioinformatics and Biostatistics 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers【電子書籍】

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<p>This book constitutes the thoroughly refereed post-conference<br /> proceedings of the 10th International Meeting on Computational<br /> Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013.<br /> The 19 revised full papers presented were carefully reviewed and<br /> selected from 35 submissions. The papers are organized in topical<br /> sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,834円

Expect The Unexpected: A First Course In Biostatistics (Second Edition)【電子書籍】[ Raluca Balan ]

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<p>This textbook introduces the basic concepts from probability theory and statistics which are needed for statistical analysis of data encountered in the biological and health sciences. No previous study is required. Advanced mathematical tools, such as integration and differentiation, are kept to a minimum. The emphasis is put on the examples. Probabilistic methods are discussed at length, but the focus of this edition is on statistics.The examples are kept simple, so that the reader can learn quickly and see the usefulness of various statistical and probabilistic methods. Some of the examples used in this book draw attention to various problems related to environmental issues, climate change, loss of bio-diversity, and their impact on wildlife and humans.In comparison with the first edition of the book, this second edition contains additional topics such as power, sample size computation and non-parametric methods, and includes a large collection of new problems, as well as the answers to odd-numbered problems. Several sections of this edition are accompanied by instructions using the programming language R for statistical computing and graphics.The Solution Manual is available upon request for all instructors who adopt this book as a course text. Please send your request to <a href="mailto:sales@wspc.com">sales@wspc.com</a>.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,973円

Bayesian Thinking in Biostatistics【電子書籍】[ Gary L Rosner ]

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<p>Praise for <em>Bayesian Thinking in Biostatistics:</em></p> <p>"This thoroughly modern Bayesian book …is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments…are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course…"</p> <p>-<strong>Thomas Louis</strong>, Johns Hopkins University</p> <p>"The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems….Another great feature for using this book as a textbook is the inclusion of extensive problem sets, going well beyond construed and simple problems. Many exercises consider real data and studies, providing very useful examples in addition to serving as problems."</p> <p>- <strong>Peter Mueller</strong>, University of Texas</p> <p>With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, <strong>Bayesian Thinking in Biostatistics</strong> considers statistical issues in biomedical research. The book emphasizes greater collaboration between biostatisticians and biomedical researchers. The text includes an overview of Bayesian statistics, a discussion of many of the methods biostatisticians frequently use, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests.</p> <p>Key Features</p> <ul> <li></li> <li>Applies a Bayesian perspective to applications in biomedical science</li> <li></li> <li>Highlights advances in clinical trial design</li> <li></li> <li>Goes beyond standard statistical models in the book by introducing Bayesian nonparametric methods and illustrating their uses in data analysis</li> <li></li> <li>Emphasizes estimation of biomedically relevant quantities and assessment of the uncertainty in this estimation</li> <li></li> <li>Provides programs in the BUGS language, with variants for JAGS and Stan, that one can use or adapt for one's own research</li> </ul> <p>The intended audience includes graduate students in biostatistics, epidemiology, and biomedical researchers, in general</p> <p>Authors</p> <p><strong>Gary L. Rosner</strong> is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.</p> <p><strong>Purushottam (Prakash) W. Laud</strong> is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin.</p> <p><strong>Wesley O. Johnson</strong> is professor Emeritus in the Department of Statistics as the University of California, Irvine.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 18,695円

Bioinformatics Algorithms, Coding, Data Science And Biostatistics【電子書籍】[ Rob Botwright ]

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<p>Introducing the Ultimate Bioinformatics Book Bundle!</p> <p>Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone.</p> <p>Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume. Learn about algorithms, concepts, and principles that form the backbone of bioinformatics research. From sequence analysis to genetic variation, this book lays the groundwork for understanding the fundamental aspects of bioinformatics.</p> <p>Book 2: Coding in Bioinformatics Take your skills to the next level with our coding-focused volume. Explore scripting languages like Python and R, and discover how to apply them to bioinformatics tasks. From data manipulation to machine learning, this book covers a wide range of coding techniques and applications in bioinformatics.</p> <p>Book 3: Exploring Data Science in Bioinformatics Delve into the world of data science and its applications in bioinformatics. Learn about exploratory data analysis, statistical inference, and machine learning techniques tailored specifically for biological data. With practical examples and case studies, this book helps you extract meaningful insights from complex datasets.</p> <p>Book 4: Mastering Biostatistics in Bioinformatics Unlock the power of biostatistics with our advanced methods volume. Explore cutting-edge statistical techniques for analyzing biological data, including survival analysis, meta-analysis, and more. Whether you're conducting experimental studies or analyzing clinical data, this book equips you with the tools you need to draw meaningful conclusions.</p> <p>Why Choose Our Bundle?</p> <p>・ Comprehensive Coverage: Covering everything from basic concepts to advanced methods, this bundle provides a complete overview of bioinformatics.</p> <p>・ Practical Focus: With hands-on coding exercises and real-world examples, our books emphasize practical skills and applications.</p> <p>・ Expert Authors: Authored by experts in the field of bioinformatics, each book offers valuable insights and expertise.</p> <p>・ Versatile Learning: Whether you're a beginner or an experienced practitioner, our bundle caters to learners of all levels.</p> <p>Don't miss out on this opportunity to enhance your skills and knowledge in bioinformatics. Order your copy of the Bioinformatics Book Bundle today!</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 906円

Encyclopaedia of Biostatistics and Computer Applications【電子書籍】[ Veena Kumari ]

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<p>Biostatistics is routinely used to drive biology experiments. Data is gathered and analyzed before, during, and after a biology experiment, with the intent to come to some form of logical conclusion about what might not be exactly empirical results. On the other hand, a biostatistics experiment can be entirely mathematical; for example, the measurement of an animal’s temperature at various times of the day, and the subsequent tracking of other variables involved in those temperature measurements, can be expressed in wholly numerical terms. This book covers most of the statistical tools which are essential for each teacher, researcher and student of Biology i.e. Genetics, Aquaculture, Botany, Limnology, Environmental Sciences, Anthropology and Zoology. FoxPro is every useful database to store data and statistical analysis can be done by developing programs.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 32,047円

Biostatistics Manual for Health Research A Practical Guide to Data Analysis【電子書籍】[ Nafis Faizi ]

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<p><em>Biostatistics Manual for Health Research: A Practical Guide to Data Analysis</em> is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.</p> <ul> <li>Applies a practical and solution centric approach to support readers to successfully manage their research data</li> <li>Explains step-by-step the different biostatistical tests, including screenshots from the most common softwares used currently for easy consult</li> <li>Summarizes the content of each chapter in concise text boxes to help readers find the right information when needed</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 12,357円

Medical Biostatistics【電子書籍】[ Abhaya Indrayan ]

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<p>Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 40,060円

Biostatistics for Epidemiology and Public Health Using R【電子書籍】[ Bertram K.C. Chan, PhD ]

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<p>Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills.</p> <p>The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual.</p> <p><strong>KEY FEATURES:</strong></p> <ul> <li>First overview biostatistics textbook for epidemiology and public health that uses the open-source R program</li> <li>Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology</li> <li>Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results</li> <li>Includes online student solutions guide and instructor's manual</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 9,642円

Biostatistics & Research Simplified Theoretical and Practical Approach【電子書籍】[ Dr James M. Malusha ]

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<p>The book "Biostatistics and Research Simplified: A Theoretical and Practical Approach" is a valuable resource tailored for undergraduate and postgraduate students, along with researchers engaging in research projects and theses. Its comprehensive content and approach make it an ideal companion for those seeking a deeper understanding of biostatistics and research methodologies.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 333円

Practical Biostatistics in Translational Healthcare【電子書籍】[ Allen M. Khakshooy ]

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<p>There is an ever-increasing emphasis on evidence-based medicine that is distinguished by systematic crafting of the patient-centered research question, detailed literature searches, and careful appraisal of the resulting evidence. The consensus that ultimately emerges must then be applied in specific clinical settings, and it is to this process that translational effectiveness analysis refers. This portable and easy-to-use handbook is intended as a practical teaching guide on translational effectiveness for students and clinicians. Specifically, it will serve as a primer on patient-centered outcomes research methodology in the health sciences and explain how to acquire and understand the fundamental data that determine which reports are valued as the “best available” evidence. It presents an accessible and readily intelligible set of principles which doctors, dentists, nurses, and insurance carriers will be able to use in the process of health care-related decision-making.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 12,154円

Emerging Non-Clinical Biostatistics in Biopharmaceutical Development and Manufacturing【電子書籍】[ Harry Yang ]

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<p>The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the product and the manufacturing process. This state-of-the-art book provides a single source of information on emerging statistical approaches to QbD and risk-based pharmaceutical development. A comprehensive resource, it combines in-depth explanations of advanced statistical methods with real-life case studies that illustrate practical applications of these methods in QbD implementation.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 8,278円

Encyclopaedia of Biostatistics, Bioinformatics and Computer Applications【電子書籍】[ Rajneesh Narayan ]

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<p>Biostatistics is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine and agriculture; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results. Biostatistical reasoning and modelling were of critical importance to the foundation theories of modern biology. ln larger universities where both a statistics and a biostatistics department exist, the degree of integration between the two departments may range from the bare minimum to very close collaboration. ln general, the difference between a statistics program and a biostatistics one is twofold: (i) statistics departments will often host theoretical/methodological research which arc less common in biostatistics programs and (ii) statistics departments have lines of research that may include biomedical applications but also other areas such as industry (quality control), business and economics and biological areas other than medicine. Applications for machine learning include machine perception, computer vision, natural language processing, syntactic pattern recognition, search engines, medical diagnosis, bioinformatics, brain-machine interfaces and cheminformatics, detecting credit card fraud, stock market analysis, classifying DNA sequences, speech and handwriting recognition, object recognition in computer vision, game playing, software engineering, adaptive websites, robot locomotion, and structural health monitoring. This book provides deep insight to various dimensions of issues relating to development of this subject.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 42,730円

Nonparametric Bayesian Inference in Biostatistics【電子書籍】

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<p>As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 12,154円

New Frontiers of Biostatistics and Bioinformatics【電子書籍】

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<p>This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas.</p> <p>Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 19,447円

Basic & Clinical Biostatistics 4/E (EBOOK)【電子書籍】[ Beth Dawson ]

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<p><strong>The ideal way to develop sound judgment about data applicable to clinical care</strong></p> <ul> <li>First choice of students, educators, and practitioners</li> <li>A thorough, meaningful, and interesting presentation of biostatistics</li> <li>Helps students become informed users and consumers of biostatistics</li> </ul> <p>Learn to evaluate and apply statistics in medicine, medical research, and all health-related fields.</p> <ul> <li>Emphasis on the basics of biostatistics and epidemiology and the clinical applications in evidence-based medicine and decision-making methods</li> <li>NEW chapter on survey research</li> <li>Expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods</li> <li>Key Concepts in each chapter pinpoint essential information</li> <li>Presenting Problems drawn from studies in the medical literature that illustrate the various statistical methods</li> <li>Downloadable NCSS statistical software, procedures, and data sets from the presenting problems</li> <li>End-of-chapter exercises</li> <li>Multiple-choice final practice exam</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 10,456円

Practical Biostatistics A Step-by-Step Approach for Evidence-Based Medicine【電子書籍】[ Mendel Suchmacher ]

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<p><em>Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition</em> presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis.</p> <p>With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.</p> <ul> <li>Explains biostatistics in a didactic way for students, researchers and professionals of health sciences with little or no background on mathematics</li> <li>Presents a new section dedicated to epidemiology and public health, broadening content from the previous edition</li> <li>Written by medical doctors with vast experience on biostatistics and teaching who develop the content based on real cases for better applicability by readers</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 9,882円