Chul Ahn, Moonseong Heo and Song Zhang. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Boca Raton, CRC Press.

Chul Ahn, Moonseong Heo and Song Zhang. Sample Size Calculations for Clustered and Longitudinal... With the huge literature in technical reports, journal articles, blogs, multiple sample size and power packages, and specially written procedures in SAS, R, STATA, MatLab, and other statistical software, one might wonder why we need another book on sample size calculations. The answers will be evident upon reading this text. I write from the point of view of a biostatistician situated in a medical school biostatistics department, scientific reviewer, and consultant. I sometimes need sample size and power calculation routines for clustered and randomized designs not always found in commercially available sample size software or, if available, not in the form I need.This book offers unified notation, intuitively clear power, and sample size formulas in closed form, and well written explanations in each chapter, making the book easy to use, and especially after a first read, a quick and authoritative reference for the calculations needed to get the job done. Many worked examples are shown, but no computer code is included in the text. The sample size and power formulas are in closed form however, and follow a clear progression from the familiar two‐sample t‐test sample size to the more complex clustered, repeated measures and multilevel designs. The familiar http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrics Wiley

Chul Ahn, Moonseong Heo and Song Zhang. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Boca Raton, CRC Press.

Biometrics , Volume 74 (1) – Jan 1, 2018

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
© 2018, The International Biometric Society
ISSN
0006-341X
eISSN
1541-0420
D.O.I.
10.1111/biom.12853
Publisher site
See Article on Publisher Site

Abstract

With the huge literature in technical reports, journal articles, blogs, multiple sample size and power packages, and specially written procedures in SAS, R, STATA, MatLab, and other statistical software, one might wonder why we need another book on sample size calculations. The answers will be evident upon reading this text. I write from the point of view of a biostatistician situated in a medical school biostatistics department, scientific reviewer, and consultant. I sometimes need sample size and power calculation routines for clustered and randomized designs not always found in commercially available sample size software or, if available, not in the form I need.This book offers unified notation, intuitively clear power, and sample size formulas in closed form, and well written explanations in each chapter, making the book easy to use, and especially after a first read, a quick and authoritative reference for the calculations needed to get the job done. Many worked examples are shown, but no computer code is included in the text. The sample size and power formulas are in closed form however, and follow a clear progression from the familiar two‐sample t‐test sample size to the more complex clustered, repeated measures and multilevel designs. The familiar

Journal

BiometricsWiley

Published: Jan 1, 2018

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