A general framework for studying genetic effects and gene-environment interactions with missing data

DOI10.1093/BIOSTATISTICS/KXQ015zbMath1437.62501OpenAlexW2128161787WikidataQ33546999 ScholiaQ33546999MaRDI QIDQ3303620

No author found.

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxq015

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Survival analysis with incomplete genetic data

Cites Work

• Unnamed Item
• Retrospective analysis of haplotype-based case-control studies under a flexible model for gene-environment association
• On Profile Likelihood
• Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression
• Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
• Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies
• Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies

This page was built for publication: A general framework for studying genetic effects and gene-environment interactions with missing data