Sample Size Calculations in Clinical Research, Second Edition

Sample Size Calculations in Clinical Research, Second Edition

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Description

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.show more

Product details

  • Electronic book text | 480 pages
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • London, United Kingdom
  • New edition
  • 2nd New edition
  • 100 equations; 80 Tables, black and white; 85 Illustrations, black and white
  • 1584889837
  • 9781584889830

Review quote

"... an excellent resource, and the added material (which amounts to roughly 100 pages) more than justifies the publication of the second edition."-Joseph Cavanaugh, University of Iowa, Journal of the America Statistical Association, March 2009 "The second edition book presents on a total of 465 pages a comprehensive derivation of sample size formulae for a wide variety of testing scenarios from many different clinical research topics ... well written and easy to read due to the uniform organizational structure of all chapters. Each chapter contains a detailed description of the statistical test problems, the adequate statistical formulae for sample size calculations, numerical examples as well as practical issues ... this book is recommended to biostatisticians and clinical scientists in medical or pharmaceutical research and provides a comprehensive reference of sample size calculations covering a wide range of different clinical research topics."-Iris Burkholder, Zentralblatt MATH, 2009 "...The second edition has been carefully updated from the first edition. ... One of the strengths of the book is the organizational structure. Each chapter contains comprehensive references, examples, and practical considerations. The book is clearly laid out and easy to read. The table of contents and the index are comprehensive, which makes the book quite useful as a reference. ... In summary, this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study."-Biometrics, December 2008 "This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered, including sample size for comparing k samples, bioequivalence, dose-response studies, and (new in this second edition) microarray studies and Bayesian sample size determination. ... Overall, this is a useful reference for the mathematical statistician ..." -Ian White (Medical Research Council Biostatistics Unit), Journal of the Royal Statistical Society "... The book is well written and easy to read. ... a useful comprehensive reference of sample size calculation procedures for clinical research. It should be a valuable reference book for biostatisticians and clinical scientists in medical or pharmaceutical research."-Statistics in Medicine, 2008 "This book gives excellent coverage to the many types of study design and aims that are likely to be encountered. The main strength of the book is the vast collection of sample size calculations from many different areas of clinical research ... an excellent reference for people involved in the designing of clinical research projects."-The Journal of Perioperative Practice, September 2008 "...This text provides procedures and formulae for the determination of sample size and the appropriate calculation of power for the hypotheses that reflect study objectives under a valid study design. ... this second edition will appeal to both practitioners and students alike."-International Statistical Review, 2008 Praise for the First Edition "This well-composed book ... contains sample size formulas and examples. ... a good reference book for researchers in clinical trials." -Journal of Statistical Computation and Simulation, Vol. 74, No. 5, May 2004 "The reference list contains details of an excellent collection of articles. The examples are clearly illustrated. This is a fascinating book, and applied statisticians and health and medical researchers will like it a lot. Statistical consultants will be fond of the book as a reference guide." -Journal of Statistical Computation and Simulation, Vol. 75, No. 9, September 2005show more

Table of contents

Preface Introduction Regulatory Requirement Basic Considerations Procedures for Sample Size Calculation Aims and Structure of the Book Considerations Prior to Sample Size Calculation Confounding and Interaction One-Sided Test versus Two-Sided Test Crossover Design versus Parallel Design Subgroup/Interim Analyses Data Transformation Practical Issues Comparing Means One-Sample Design Two-Sample Parallel Design Two-Sample Crossover Design Multiple-Sample One-Way ANOVA Multiple-Sample Williams Design Practical Issues Large Sample Tests for Proportions One-Sample Design Two-Sample Parallel Design Two-Sample Crossover Design One-Way Analysis of Variance Williams Design Relative Risk-Parallel Design Relative Risk-Crossover Design Practical Issues Exact Tests for Proportions Binomial Test Fisher's Exact Test Optimal Multiple-Stage Designs for Single Arm Trials Flexible Designs for Multiple-Arm Trials Remarks Tests for Goodness-of-Fit and Contingency Tables Tests for Goodness-of-Fit Test for Independence-Single Stratum Test for Independence-Multiple Strata Test for Categorical Shift Carry-Over Effect Test Practical Issues Comparing Time-to-Event Data Basic Concepts Exponential Model Cox's Proportional Hazards Model Weighted Log-Rank Test Practical Issues Group Sequential Methods Pocock's Test O'Brien and Fleming's Test Wang and Tsiatis' Test Inner Wedge Test Binary Variables Time-to-Event Data Alpha Spending Function Sample Size Re-Estimation Conditional Power Practical Issues Comparing Variabilities Comparing Intra-Subject Variabilities Comparing Intra-Subject CVs Comparing Inter-Subject Variabilities Comparing Total Variabilities Practical Issues Bioequivalence Testing Bioequivalence Criteria Average Bioequivalence Population Bioequivalence Individual Bioequivalence In Vitro Bioequivalence Dose Response Studies Continuous Response Binary Response Time-to-Event Endpoint Williams' Test for Minimum Effective Dose (MED) Cochran-Armitage's Test for Trend Dose Escalation Trials Concluding Remarks Microarray Studies Literature Review False Discovery Rate (FRD) Control Family-Wise Error Rate (FWER) Control Concluding Remarks Bayesian Sample Size Calculation Posterior Credible Interval Approach Posterior Error Approach The Bootstrap-Median Approach Concluding Remarks Nonparametrics Violation of Assumptions One-Sample Location Problem Two-Sample Location Problem Test for Independence Practical Issues Sample Size Calculation in Other Areas QT/QTc Studies with Time-Dependent Replicates Propensity Analysis in Nonrandomized Studies ANOVA with Repeated Measures Quality of Life Bridging Studies Vaccine Clinical Trials INDEXshow more