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

Lu Kaifeng, Luo Xiaohui and Chen Pei-Yun
Additional contact information
Lu Kaifeng: Merck & Co.
Luo Xiaohui: Merck & Co.
Chen Pei-Yun: Merck & Co.

The International Journal of Biostatistics, 2008, vol. 4, issue 1, 18

Abstract: 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 assumed to drop out of the study at random so that the missing data do not alter the parameters of interest.

Keywords: completers analysis; missing at random; subject attrition (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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DOI: 10.2202/1557-4679.1098

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