Literature DB >> 12392862

Estimating sample size for tests on trends across repeated measurements with missing data based on the interaction term in a mixed model.

Qilong Yi1, Tony Panzarella.   

Abstract

A formula to estimate the required sample size for a study with repeated measurements was constructed based on the test of an interaction term in a mixed model. It covers both random effects and serial correlation and allows for missing data. This formula indicates that the method suggested by Dawson is conservative. A simulation study further verified the accuracy of the formula. Factors that influence the required sample size, such as the number of repeated measurements, the structure of the within-subject correlation, and their interaction, were investigated in detail. Copyright 2002 Elsevier Science Inc.

Mesh：

Year:  2002        PMID： 12392862     DOI： 10.1016/s0197-2456(02)00223-4

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN： 0197-2456


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