Sample size estimation for longitudinal designs with attrition: Comparing time-related contrasts between two groups

被引:317
作者
Hedeker, D
Gibbons, RD
Waternaux, C
机构
[1] Univ Illinois, Sch Publ Hlth, Div Epidemiol & Biostat, Chicago, IL 60612 USA
[2] Univ Illinois, Sch Publ Hlth, Ctr Hlth Policy Res, Chicago, IL 60612 USA
[3] Columbia Univ, New York, NY 10027 USA
关键词
clustering; hierarchical linear models; missing data; multilevel models; mixed-effects models; repeated measures; statistical power;
D O I
10.3102/10769986024001070
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Formulas for estimating sample sizes are presented to provide specified levels of power for tests of significance from a longitudinal design allowing for subject attrition. These formulas are derived for a comparison of two groups in terms of single degree-of-freedom contrasts of population means across the study timepoints. Contrasts of this type can often capture the main and interaction effects in a two-group repeated measures design. For example, a two-group comparison of either an average across time or a specific trend across time (e.g., linear or quadratic) can be considered. Since longitudinal data with attrition are often analyzed using an unbalanced repeated measures model (with a structured variance-covariance matrix for the repeated measures) or a random-effects model for incomplete longitudinal data, the variance-covariance matrix of the repeated measures is allowed to assume a variety of forms. Tables are presented listing sample size determinations assuming compound symmetry, a first-order autoregressive structure, and a non-stationary random-effects structure. Examples are provided to illustrate use of the formulas, and a computer program implementing the procedure is available from the first author.
引用
收藏
页码:70 / 93
页数:24
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