Literature DB >> 33871850

Randomized Controlled Trials 6: Determining the Sample Size and Power for Clinical Trials and Cohort Studies.

Tom Greene1.   

Abstract

Performing well-powered, randomized, controlled trials is of fundamental importance in clinical research. The goal of sample size calculations is to assure that statistical power is sufficiently high when the probability of falsely rejecting a true null hypothesis (type I error) is kept acceptably small. This chapter overviews the fundamental of sample size calculation for standard types of outcomes for 2-group studies. It also considers (1) the problem of determining the size of the treatment effect that a study should be designed to detect, (2) modifications to sample size calculations to account for loss to follow-up and nonadherence, (3) options that can be used when initial calculations indicate that the feasible sample size is insufficient to provide adequate power, (4) implications of using multiple primary end points. In addition, a discussion of cluster randomized trials is provided. Sample size estimates for longitudinal cohort studies must take account of confounding by baseline factors.

Entities:  

Keywords:  Cluster randomized trials; Cohort studies; Power; Randomized clinical trials; Sample size estimation; Type I error; Type II error

Mesh:

Year:  2021        PMID: 33871850     DOI: 10.1007/978-1-0716-1138-8_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  36 in total

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