The Analysis of Binary Longitudinal Data with Time-Independent Covariates

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Abstract
Extensions of logistic regression to the case where the binary outcome variable is observed repeatedly for each subject are described. Two working models are proposed that lead to consistent estimates of the regression parameters and of their variances under mild assumptions about the time dependence within each subject''s data. The efficiency of the proposed estimators is examined. An analysis of stress in mothers with infants is presented to illustrate the proposed method.