Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose

DOI10.1016/j.csda.2004.06.013zbMath1429.62603OpenAlexW2029054775MaRDI QIDQ957264

Karl Thomaseth, Alberto Salvan, Nicola Sartori

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.06.013

zbMATH Keywords

Markov chain Monte Carloproportional hazards modelmultiple imputationmissing valuedioxintoxicokinetic model

Mathematics Subject Classification ID

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

Related Items (1)

A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching

Uses Software

• R

Cites Work

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• Multiple imputation for the Cox proportional hazards model with missing covariates
• Multiple Imputation After 18+ Years
• The Calculation of Posterior Distributions by Data Augmentation

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