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It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49611756863761,"sku":"GOR013755764","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0470863684.jpg?v=1774950382"},{"product_id":"analyzing-microarray-gene-expression-data-book-geoffrey-j-mclachlan-9780471226161","title":"Analyzing Microarray Gene Expression Data","description":"A multi-discipline, hands-on guide to microarray analysis of biological processes  Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. 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Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including:     An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49612676038929,"sku":"GOR012704759","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":53027829678353,"sku":"NGR9780471226161","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0471226165.jpg?v=1769687973"},{"product_id":"categorical-data-analysis-book-alan-agresti-9780471360933","title":"Categorical Data Analysis","description":"\"Amstat News\" asked three review editors to rate their top five favorite books in the September 2003 issue. \"Categorical Data Analysis\" was among those chosen. 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Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects. It places stronger emphasis on logistic regression modeling of binary and multicategory data. An appendix showing the use of SAS for conducting nearly all analyses in the book is included. Prescriptions for how ordinal variables should be treated differently than nominal variables are covered. It includes: discussion of exact small sample procedures; more than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises. 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A complete and balanced presentation now revised, updated, and expanded. As the field of research possibilities expands, the need for a working understanding of how to carry out clinical trials only increases. New developments in the theory and practice of clinical research include a growing body of literature on the subject, new technologies and methodologies, and new guidelines from the International Conference on Harmonization (ICH).\"Design and Analysis of Clinical Trials, Second Edition\" provides both a comprehensive, unified presentation of principles and methodologies for various clinical trials, and a well-balanced summary of current regulatory requirements. This unique resource bridges the gap between clinical and statistical disciplines, covering both fields in a lucid and accessible manner. Thoroughly updated from its first edition, the Second Edition of \"Design and Analysis of Clinical Trials\" features new topics such as: clinical trials and regulations, especially those of the ICH; clinical significance, reproducibility, and generalizability; goals of clinical trials and target population; new study designs and trial types; sample size determination on equivalence and noninferiority trials, as well as comparing variabilities.Also, three entirely new chapters cover: designs for cancer clinical trials; preparation and implementation of a clinical protocol; and, data management of a clinical trial. Written with the practitioner in mind, the presentation assumes only a minimal mathematical and statistical background for its reader. Instead, the writing emphasizes real-life examples and illustrations from clinical case studies, as well as numerous references - 280 of them new to the Second Edition - to the literature. \"Design and Analysis of Clinical Trials, Second Edition\" will benefit academic, pharmaceutical, medical, and regulatory scientists\/researchers, statisticians, and graduate-level students in these areas by serving as a useful, thorough reference source for clinical research.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49663851200785,"sku":"GOR008752293","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":53117625270545,"sku":"CIN0471249858G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0471249858.jpg?v=1750879317"},{"product_id":"statistical-rules-of-thumb-book-gerald-van-belle-9780470144480","title":"Statistical Rules of Thumb","description":"Praise for the First Edition:  \"For a beginner [this book] is a treasure trove; for an experienced person it can provide new ideas on how better to pursue the subject of applied statistics.\"  —Journal of Quality Technology   Sensibly organized for quick reference, Statistical Rules of Thumb, Second Edition compiles simple rules that are widely applicable, robust, and elegant, and each captures key statistical concepts. This unique guide to the use of statistics for designing, conducting, and analyzing research studies illustrates real-world statistical applications through examples from fields such as public health and environmental studies. Along with an insightful discussion of the reasoning behind every technique, this easy-to-use handbook also conveys the various possibilities statisticians must think of when designing and conducting a study or analyzing its data.   Each chapter presents clearly defined rules related to inference, covariation, experimental design, consultation, and data representation, and each rule is organized and discussed under five succinct headings: introduction; statement and illustration of the rule; the derivation of the rule; a concluding discussion; and exploration of the concept's extensions. The author also introduces new rules of thumb for topics such as sample size for ratio analysis, absolute and relative risk, ANCOVA cautions, and dichotomization of continuous variables. Additional features of the Second Edition include:     Additional rules on Bayesian topics  New chapters on observational studies and Evidence-Based Medicine (EBM)     Additional emphasis on variation and causation     Updated material with new references, examples, and sources      A related Web site provides a rich learning environment and contains additional rules, presentations by the author, and a message board where readers can share their own strategies and discoveries. Statistical Rules of Thumb, Second Edition is an ideal supplementary book for courses in experimental design and survey research methods at the upper-undergraduate and graduate levels. 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It serves as both a textbook for students of environmentalstatistics, as well as a comprehensive source of reference foranyone working in statistical investigation of environmentalissues.  * Provides broad coverage of the methodology used in thestatistical investigation of environmental issues.  * Covers a wide range of key topics, including sampling, methodsfor extreme data, outliers and robustness, relationship models andmethods, time series, spatial analysis, and environmentalstandards.  * Includes many detailed practical and worked examples thatillustrate the applications of statistical methods in environmentalissues.  * Authored by a leading authority on environmentalstatistics.","brand":"WoB","offers":[{"title":"US \/ WELL_READ \/ SBYB","offer_id":49724539666705,"sku":"CIN0471489719A","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51002754629905,"sku":"NIN9780471489719","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":51325814374673,"sku":"CIN0471489719G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":51332825317649,"sku":"CIN0471489719VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52120529240337,"sku":"NLS9780471489719","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0471489719.jpg?v=1774519313"},{"product_id":"applied-longitudinal-analysis-book-garrett-m-fitzmaurice-9780470380277","title":"Applied Longitudinal Analysis","description":"Praise for the First Edition  \". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis.\"  —Journal of the American Statistical Association   Features newly developed topics and applications of the analysis of longitudinal data   Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences.   The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including:     Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and power   Each chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material.   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Readers will encounter the principles of design for various types of clinical trials, and are then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of the trial and provides common sense solutions. All stages of therapeutic development are discussed in detail, and the methods are not restricted to a single clinical application area.   The authors bases current revisions and updates on his own experience, classroom instruction, and feedback from teachers and medical and statistical professionals involved in clinical trials. The Third Edition greatly expands its coverage, ranging from statistical principles to new and provocative topics, including alternative medicine and ethics, middle development, comparative studies, and adaptive designs. At the same time, it offers more pragmatic advice for issues such as selecting outcomes, sample size, analysis, reporting, and handling allegations of misconduct. Readers familiar with the First and Second Editions will discover revamped exercise sets; an updated and extensive reference section; new material on endpoints and the developmental pipeline, among others; and revisions of numerous sections.   In addition, this book:   • Features accessible and broad coverage of statistical design methods—the crucial building blocks of clinical trials and medical research -- now complete with new chapters on overall development, middle development, comparative studies, and adaptive designs   • Teaches readers to design clinical trials that produce valid qualitative results backed by rigorous statistical methods   • Contains an introduction and summary in each chapter to reinforce key points   • Includes discussion questions to stimulate critical thinking and help readers understand how they can apply their newfound knowledge   • Provides extensive references to direct readers to the most recent literature, and there are numerous new or revised exercises throughout the book   Clinical Trials: A Methodologic Perspective, Third Edition is a textbook accessible to advanced undergraduate students in the quantitative sciences, graduate students in public health and the life sciences, physicians training in clinical research methods, and biostatisticians and epidemiologists.   This book is accompanied by downloadable files available below under the DOWNLOADS tab.    These files include:     MATHEMATICA program – A set of downloadable files that tracks the chapters, containing code pertaining to each.     SAS PROGRAMS and DATA FILES used in the book.   The following software programs, included in the downloadables, were developed by the author, Steven Piantadosi, M.D., Ph.D:     RANDOMIZATION – This program generates treatment assignments for a clinical trial using blocked stratified randomization.     CRM – Implements the continual reassessment methods for dose finding clinical trials.     OPTIMAL – Calculates two-stage optimal phase II designs using the Simon method.     POWER – This is a power and sample size program for clinical trials.    Executables for installing these programs can also be found at https:\/\/risccweb.csmc.edu\/biostats\/.   Steven Piantadosi, MD, PhD, is the Phase One Foundation Distinguished Chair and Director of the Samuel Oschin Cancer Institute, and Professor of Medicine at Cedars-Sinai Medical Center in Los Angeles, California. Dr. Piantadosi is one of the world’s leading experts in the design and analysis of clinical trials for cancer research. He has taught clinical trials methods extensively in formal courses and short venues. He has advised numerous academic programs and collaborations nationally regarding clinical trial design and conduct, and has served on external advisory boards for the National Institutes of Health and other prominent cancer programs and centers. The author of more than 260 peer-reviewed scientific articles, Dr. Piantadosi has published extensively on research results, clinical applications, and trial methodology. 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Adding to the value in the new edition is:   • Illustrations of the use of R software to perform all the analyses in the book   • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis   • New sections in many chapters introducing the Bayesian approach for the methods of that chapter   • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets   • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises   Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.   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Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.   Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.     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