This research examines the analysis of repeated measures experiments that have binary outcomes. Intersubject differences are explained by attribute vectors for each subject. A method is provided for modeling the response function over time. Outside of the assumptions of multivariate logistic regression, no distributional assumptions are made, nor are any assumptions made about the nature of the serial dependence of the response over time.
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