Chapter 10. Sample-Size Analysis for Traditional Hypothesis Testing: Concepts and Issues
Ralph G. O'Brien[]
[] Ralph G. O'Brien is Professor, Quantitative Health Sciences, Cleveland Clinic, USA (obrien.ralph@gmail.com).
John Castelloe[]
[] John Castelloe is Senior Research Scientist, SAS Institute, USA (John.Castelloe@sas.com).
Sample-size analysis continues to be transformed by ever-improving strategies, methods, and software. Using these tools intelligently depends on what the investigators understand about statistical science and what they know and conjecture about the particular research questions driving the study planning. This chapter covers only the most common type of sample-size analysis—power analysis, i.e., studying the chance that ...
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