Generalized integration model for improved statistical inference by leveraging external summary data

Generalized meta-analysis for multiple regression models across studies with disparate covariate information

(2019) Prosenjit Kundu et al.   BIOMETRIKA

Additive hazards model with auxiliary subgroup survival information

(2018) Jie He et al.   LIFETIME DATA ANALYSIS

Improving estimation and prediction in linear regression incorporating external information from an established reduced model

(2018) Wenting Cheng et al.   STATISTICS IN MEDICINE

A cohort study of cervical screening using partial HPV typing and cytology triage

(2016) Mark Schiffman et al.   INTERNATIONAL JOURNAL OF CANCER

Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources

(2016) Nilanjan Chatterjee et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Comment

(2016) Peisong Han et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Carcinogenic human papillomavirus infection

(2016) Mark Schiffman et al.   Nature Reviews Disease Primers

Using covariate-specific disease prevalence information to increase the power of case-control studies

(2014) J. Qin et al.   BIOMETRIKA

On the relative efficiency of using summary statistics versus individual-level data in meta-analysis

(2010) D. Y. Lin et al.   BIOMETRIKA

Generalized linear models incorporating population level information: an empirical-likelihood-based approach

(2008) Sanjay Chaudhuri et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY