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Updated: Jan 2, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Multistate analysis from cross-sectional and auxiliary samples
Leilei Zeng1, Richard J Cook1, Jooyoung Lee1
1Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada.
Abstract:
Epidemiological studies routinely involve cross-sectional sampling of a population comprised of individuals progressing through life history processes. We consider features of a cross-sectional sample in terms of the intensity functions of a progressive multistate disease process under stationarity assumptions. The limiting values of estimators for regression coefficients in naive logistic regression models are studied, and simulations confirm the key asymptotic results that are relevant in finite samples. We also consider the need for and the use of data from auxiliary samples, which enable one to fit the full multistate life history process. We conclude with an application to data from a national cross-sectional sample assessing marker effects on psoriatic arthritis among individuals with psoriasis.
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