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Longitudinal Data Observed Over Unequal Time Intervals Modeling Correlations In The Analysis Of Binary Outcomes Data
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This monograph extends previous work on the §evaluation of GEE performance in parameter §estimation with correlation structure §misspecification. It examines a new structure to §model the correlation between binary responses §observed over unequal time intervals. The proposed §unequal-time correlation structure accounts for §unequal intervals by fixing the correlation §coefficient and interval length between the first 2 §observations and by adjusting the correlations for §subsequent pairs by their relative interval length.§§To evaluate this structure, correlated binary §responses under the logistic model were generated §with the unequal time correlation structure for a §full range of positive correlations and strength of §association under different scenarios of number of §measurements, sample size and prevalence of §exposure. The model was evaluated when the working §correlation structure was misspecified as §exchangeable, 1st order autoregressive, §unstructured, or when alternating logistic §regression was employed.
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