Using covariate-specific disease prevalence information to increase the power of case-control studies
From MaRDI portal
Publication:5247440
DOI10.1093/biomet/asu048zbMath1345.62133OpenAlexW1965099848MaRDI QIDQ5247440
Han Zhang, Demetrius Albanes, Jing Qin, Kai Yu, Peng-Fei Li
Publication date: 24 April 2015
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/asu048
estimating equationsempirical likelihoodauxiliary informationmeta-analysisbiased samplingcase and control studies
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)
Related Items (18)
Meta-analysis of independent datasets using constrained generalised method of moments ⋮ A selective review of statistical methods using calibration information from similar studies ⋮ Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling ⋮ Data Integration with Oracle Use of External Information from Heterogeneous Populations ⋮ Adjustment of nonconfounding covariates in case-control genetic association studies ⋮ Estimation of marginal generalized linear model with subgroup auxiliary information ⋮ Logistic regression analysis of two‐phase studies using generalized method of moments ⋮ Integrating information from existing risk prediction models with no model details ⋮ Combining primary cohort data with external aggregate information without assuming comparability ⋮ Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach ⋮ Integrative analysis of multiple case‐control studies ⋮ Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models ⋮ Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets ⋮ Comparison of empirical likelihood and its dual likelihood under density ratio model ⋮ Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations ⋮ Additive hazards model with auxiliary subgroup survival information ⋮ Semiparametric likelihood-based inference for censored data with auxiliary information from external massive data sources ⋮ Semiparametric empirical likelihood inference with estimating equations under density ratio models
This page was built for publication: Using covariate-specific disease prevalence information to increase the power of case-control studies