Analysis of repeated measures experiments with binary outcomes

S. James Press

Expert InsightsPublished 1987

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.

Document Details

  • Availability: Web Only
  • Year: 1987
  • Pages: 12
  • Document Number: P-7348

Citation

Chicago Manual of Style

Press, S. James, Analysis of repeated measures experiments with binary outcomes. Santa Monica, CA: RAND Corporation, 1987. https://www.rand.org/pubs/papers/P7348.html.
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