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Mathematical statistics --- Analyse-méta --- Meta-analyse --- Meta-analysis --- Méta-analyse --- Medicine --- Research --- Statistical methods --- Medicine - Research - Statistical methods. --- Meta-analysis.

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Biomathematics. Biometry. Biostatistics --- Epidemiology --- Medical statistics --- Medicine --- Research --- Statistical methods --- Medical statistics. --- Biometry. --- Epidemiologic methods. --- Statistical methods. --- Biometry --- Epidemiologic Methods --- Statistique médicale --- Medicine - Research - Statistical methods --- Biostatistique

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Medicine --- Epidemiology --- Biometry --- Causation --- Research --- Statistical methods --- Biometry. --- Causation. --- Statistical methods. --- Medicine - Research - Statistical methods --- Epidemiology - Statistical methods --- Causality --- Epidemiologic factors --- Health care evaluation mechanisms

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Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/superiority, and equivalence. A comprehensive and unified presentation of statistical concepts and practical applications, this book highlights the interactions between clinicians and biostatisticians, includes a well-balanced summary of current and emerging clinical issues, and explores recently developed statistical methodologies for sample size calculation. Whenever possible, each chapter provides a brief history or background, regulatory requirements, statistical designs and methods for data analysis, real-world examples, future research developments, and related references. One of the few books to systematically summarize clinical research procedures, this edition contains new chapters that focus on three key areas of this field. Incorporating the material of this book in your work will help ensure the validity and, ultimately, the success of your clinical studies.

Mathematical statistics --- Clinical medicine --- Drug development --- Sampling (Statistics) --- Sample Size --- Biometry --- Research --- Statistical methods --- methods --- Sample Size. --- Statistical methods. --- methods. --- Sampling (Statistics). --- Clinical medicine - Research - Statistical methods --- Drug development - Statistical methods --- Biometry - methods

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This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: ¢ Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing ¢ Assessing Goodness to Fit for Logistic Regression ¢ Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.

Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- Medicine --- Regression Analysis --- Logistic distribution --- Research --- Statistical methods --- Regression analysis. --- Logistic distribution. --- Statistical methods. --- Medicine - Research - Statistical methods