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Generalized partially linear mixed-effects models incorporating mismeasured covariates

Liang, Hua - In: Annals of the Institute of Statistical Mathematics 61 (2009) 1, pp. 27-46

Persistent link: https://www.econbiz.de/10005395694

Statistical Inference in Single-Index and Partially Nonlinear Models

Gao, Jiti; Liang, Hua - In: Annals of the Institute of Statistical Mathematics 49 (1997) 3, pp. 493-517

Persistent link: https://www.econbiz.de/10005184616

Semiparametric marginal and association regression methods for clustered binary data

Yi, Grace; He, Wenqing; Liang, Hua - In: Annals of the Institute of Statistical Mathematics 63 (2011) 3, pp. 511-533

Persistent link: https://www.econbiz.de/10008925558

Partial linear single index models with distortion measurement errors

Zhang, Jun; Yu, Yao; Zhu, Li-Xing; Liang, Hua - In: Annals of the Institute of Statistical Mathematics 65 (2013) 2, pp. 237-267

We study partial linear single index models when the response and the covariates in the parametric part are measured with errors and distorted by unknown functions of commonly observable confounding variables, and propose a semiparametric covariate-adjusted estimation procedure. We apply the...

Persistent link: https://www.econbiz.de/10010634435