Latent-model robustness in structural measurement error models

成果类型:
Article
署名作者:
Huang, XZ; Stefanski, LA; Davidian, M
署名单位:
North Carolina State University
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/93.1.53
发表日期:
2006
页码:
5364
关键词:
simulation-extrapolation likelihood
摘要:
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.