Logistic regression of family data from case-control studies

DOI10.1093/biomet/82.1.57zbMath0823.62096OpenAlexW2056969705MaRDI QIDQ4842902

Alice S. Whittemore

Publication date: 16 August 1995

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/82.1.57

zbMATH Keywords

maximum likelihood estimateslogistic regressioncovariatesmarginal distributionscase-control studiesovarian cancerreproducibilityloglinear modelmarginal modelsmultivariate regression modelsbinary disease dataprospective designs

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Linear inference, regression (62J99)

Related Items (17)

Robust logistic regression of family data in the presence of missing genotypes ⋮ A Semiparametric Method for Analyzing Matched Case-Control Family Studies with a Continuous Outcome and Proband Sampling ⋮ On Estimation of Time-Dependent Attributable Fraction from Population-Based Case-Control Studies ⋮ A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking ⋮ Semi-parametric efficiency bounds for regression models under response-selective sampling: the profile likelihood approach ⋮ Robust methods for detecting familial aggregation of a quantitative trait in matched case–control family studies ⋮ Structural decompositions of multivariate distributions with applications in moment and cumulant. ⋮ Methods for stratified cluster sampling with informative stratification ⋮ A robust method for finely stratified familial studies with proband-based sampling ⋮ Longitudinal Studies of Binary Response Data Following Case-Control and Stratified Case-Control Sampling: Design and Analysis ⋮ Maximum likelihood for generalized case-control studies ⋮ On Combining Family-Based and Population-Based Case-Control Data in Association Studies ⋮ A Bivariate Cure-Mixture Approach for Modeling Familial Association in Diseases ⋮ Analysis of Survival Data from Case-Control Family Studies ⋮ Case–Control and Case‐Only Designs with Genotype and Family History Data: Estimating Relative Risk, Residual Familial Aggregation, and Cumulative Risk ⋮ Family‐Specific Approaches to the Analysis of Case–Control Family Data ⋮ A Frailty‐Model‐Based Approach to Estimating the Age‐Dependent Penetrance Function of Candidate Genes Using Population‐Based Case‐Control Study Designs: An Application to Data on the BRCA1 Gene

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