General Departmental Seminar Series
Latent-model robustness in structural measurement error models
Xianzheng (Shan) Huang
Department of Statistics, North Carolina State University
Biostatistics/Pharmacy Faculty Candidate
Monday, March 6, 2006, 3:00pm
We present methods for diagnosing the effects of model misspecification of the true-predictor distribution in structural measurement error models. We first formulate latent-model robustness theoretically. Then we provide practical techniques for examining the adequacy of an assumed latent predictor model. The methods are illustrated via analytical examples, application to simulated data and with data from a study of coronary heart disease. Adaptation of the proposed methods to more general structural latent variable models is also discussed.
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