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The International Journal of Biostatistics

Ed. by Chambaz, Antoine / Hubbard, Alan E. / van der Laan, Mark J.

IMPACT FACTOR 2018: 1.309

CiteScore 2018: 1.11

SCImago Journal Rank (SJR) 2018: 1.325
Source Normalized Impact per Paper (SNIP) 2018: 0.715

Mathematical Citation Quotient (MCQ) 2018: 0.03

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

Kaifeng Lu / Xiaohui Luo / Pei-Yun Chen
Published Online: 2008-06-17 | DOI: https://doi.org/10.2202/1557-4679.1098

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

About the article

Published Online: 2008-06-17

Citation Information: The International Journal of Biostatistics, Volume 4, Issue 1, ISSN (Online) 1557-4679, DOI: https://doi.org/10.2202/1557-4679.1098.

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