Measurement Error Correction by Exploiting Gene-Environment Independence in Family-Based Case-Control Studies

DOI10.1111/J.1467-9469.2010.00714.XzbMath1246.62208OpenAlexW1535453808MaRDI QIDQ2911664

Annamaria Guolo

Publication date: 1 September 2012

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

Full work available at URL: http://paduaresearch.cab.unipd.it/7156/1/2009_15_20091106114938.pdf

zbMATH Keywords

conditional logistic regressionregression calibrationconditional likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Medical applications (general) (92C50)

Uses Software

• Unnamed Item

Cites Work

• Unnamed Item
• Tests of independence and randomness based on the empirical copula process
• Covariate Measurement Error Adjustment for Matched Case–Control Studies
• A Flexible Approach to Measurement Error Correction in Case–Control Studies
• Semiparametric Bayesian Analysis of Case–Control Data under Conditional Gene‐Environment Independence
• Measurement Error in Nonlinear Models

This page was built for publication: Measurement Error Correction by Exploiting Gene-Environment Independence in Family-Based Case-Control Studies