Conditional Inference Methods for Incomplete Poisson Data With Endogenous Time-Varying Covariates

DOI10.1198/016214505000001203zbMath1119.62378OpenAlexW2023777034MaRDI QIDQ5754951

Don Alderson, Karen T. Tashima, Joseph W. Hogan, Jason A. Roy

Publication date: 20 August 2007

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214505000001203

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study ⋮ Rejoinder: Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study ⋮ Covariate Decomposition Methods for Longitudinal Missing-at-Random Data and Predictors Associated with Subject-Specific Effects ⋮ Instrumental variable based SEE variable selection for Poisson regression models with endogenous covariates

This page was built for publication: Conditional Inference Methods for Incomplete Poisson Data With Endogenous Time-Varying Covariates