Robust methods for detecting familial aggregation of a quantitative trait in matched case–control family studies

DOI10.1080/02664763.2012.702204OpenAlexW2053377387MaRDI QIDQ5127072

Huimin Lin, Jiun-Yi Wang, Li-Ching Chen

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.702204

zbMATH Keywords

familial aggregationmatched designwithin-cluster resamplingcase-control family studiesproband sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Marginal Analyses of Clustered Data When Cluster Size Is Informative
• Within-cluster resampling
• Rank-based regression with repeated measurements data
• A Bayesian Approach to DNA Sequence Segmentation
• Median Regression Models for Longitudinal Data with Dropouts
• Logistic regression of family data from case-control studies
• Statistical designs for familial aggregation
• Weighted Rank Regression for Clustered Data Analysis
• Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives
• Rank-Sum Tests for Clustered Data

This page was built for publication: Robust methods for detecting familial aggregation of a quantitative trait in matched case–control family studies