Sample size calculations in clinical research/ Shein-Chung Chow, Jun Shao, Hansheng Wang and Yuliya Lokhnygina eds.
Material type: TextSeries: Chapman & Hall/CRC Biostatistics SeriesPublication details: Boca Raton: CRC Press, 2018Edition: 3rd edDescription: xviii, 492 pages, 25.5 cmISBN:- 9781138740983
- 23 SB:615.5072 C552
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SB:61(100) WHSR World health statistics report | SB:61(100) WHSR World health statistics report | SB:61(100) WHSR World health statistics report | SB:615.5072 C552 Sample size calculations in clinical research/ | SB:615.50724 M254 Analyzing longitudinal clinical trial data: a practical guide/ | SB:620.0015 R473 Nonlinear regression modeling for engineering applications: modeling model validation and enabling design of experiments/ | SB:620.0045 P532 Quality engineering using robust design/ |
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
Includes bibliographical references and index
Preface -- Introduction -- Considerations Prior to Sample Size Calculation -- Comparing Means -- Large Sample Tests for Proportions -- Exact Tests for Proportions -- Tests for Goodness-of-Fit and Contingency Tables -- Comparing Time-to-Event Data -- Group Sequential methods -- Comparing Variabilities -- Bioequivalence Testing -- Dose-response Studies -- Microarray Studies -- Bayesian sample Size Calculation -- Nonparametrics -- Sample Size Calculations for Cluster Randomized trials -- Test for Homogeneity of Two Zero-Inflated Poisson Population -- Sample Size for Clinical Trials with Extremely Low Incidence Rate -- Sample Size Calculation for Two-Adaptive Trial design -- Simulation-Based Sample Size and Power Analysis -- Sample Size calculation in Other Areas -- Bibliography -- Index
This book focuses 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, non inferiority/superiority, and equivalence.
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