Efficiency of General Estimating Equations Estimators of Slopes in Repeated Measurements: Adding Subjects or Adding Measurements?

In controlled clinical trials, subjects are often evaluated at baseline and intervals across a treatment period. In most trials, the treatment period and the number of time points are predetermined by design. When the primary goal is to estimate and compare the rate of change in outcome variables ov...

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Bibliographic Details
Published inDrug information journal Vol. 37; no. 3; pp. 309 - 316
Main Authors Ahn, Chul, Jung, Sin-Ho
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.01.2003
Springer Nature B.V
Subjects
Clinical trials
Estimation
Evaluation
Medicine
Autoregressive
Compound symmetry
General estimating equation (GEE)
Slope
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Summary:In controlled clinical trials, subjects are often evaluated at baseline and intervals across a treatment period. In most trials, the treatment period and the number of time points are predetermined by design. When the primary goal is to estimate and compare the rate of change in outcome variables over time, investigators are often confronted with difficult decisions of maintaining a balance between increasing the number of study subjects and increasing the number of measurements for each subject. In this paper, we present a method to evaluate the relative benefit of adding subjects versus adding measurements in terms of the efficiency of the general estimating equation (GEE) estimator of slope coefficients in repeated measurements.
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ISSN:2168-4790
0092-8615
2164-9200
2168-4804
DOI:10.1177/009286150303700306