Sample Size Estimation for Repeated Measures Analysis in Randomized Clinical Trials with Missing Data

Kaifeng Lu, Xiaohui Luo, Pei-Yun Chen
2008 The International Journal of Biostatistics  
In designing longitudinal studies, researchers must determine the number of subjects to randomize based on the power to detect a clinically meaningful treatment difference and a proposed analysis plan. In this paper, we present formulas for sample size estimation and an assessment of statistical power for a two-treatment repeated measures design allowing for subject attrition. These formulas can be used for comparing two treatment groups across time in terms of linear contrasts. Subjects are
more » ... ts. Subjects are assumed to drop out of the study at random so that the missing data do not alter the parameters of interest.
doi:10.2202/1557-4679.1098 pmid:22462117 fatcat:t5gsbxrwwbfdxik3wynpzrny2i