Power and Sample Size in R

This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for experienced statisticians and investigators.

List of contents

Preamble 1. Preliminaries 2. Getting started: a first calculation 3. One or two means 4. Hypotheses for different study objectives 5. Analysis of variance for comparing means 6. Proportions: large sample methods 7. Exact methods for proportions 8. Categorical variables 9. Precision and confidence intervals 10. Correlation and linear regression 11. Generalized linear regression 12. Crossover studies 13. Multisite trials 14. Cluster randomized trials: parallel designs 15. Cluster randomized trials: longitudinal designs 16. Time to event outcomes 17. Multiple primary endpoints Bibliography Index

About the author

Catherine M. Crespi is Professor in the Department of Biostatistics at the Jonathan and Karin Fielding School of Public Health, University of California Los Angeles. Her areas of specialization include trial design and analysis, multilevel modelling, longitudinal data and multivariate statistics. She is a Fellow of the American Statistical Association and an officer of the International Biometric Society.

Summary

This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for experienced statisticians and investigators.

Product details

• Authors: Catherine M. Crespi
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 06.02.2025
• EAN: 9781138591622
• ISBN: 978-1-138-59162-2
• No. of pages: 354
• Series: Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; Medical research, Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, MEDICAL / Pharmacology, MEDICAL / Biostatistics, Pharmacology, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics, Pharmaceutical chemistry and technology, Mathematical and statistical software