Latent-model robustness in structural measurement error models
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. Copyright 2006, Oxford University Press.
Year of publication: |
2006
|
---|---|
Authors: | Huang, Xianzheng ; Stefanski, Leonard A. ; Davidian, Marie |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 93.2006, 1, p. 53-64
|
Publisher: |
Biometrika Trust |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Latent-Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process
Huang, Xianzheng, (2009)
-
Thomas, Laine, (2013)
-
Robustness in Latent Variable Models
Huang, Xianzheng, (2006)
- More ...