Prediction of Individual Long-term Outcomes in Smoking Cessation Trials Using Frailty Models

DOI10.1111/j.1541-0420.2011.01578.xzbMath1274.62817OpenAlexW1968800515WikidataQ39772235 ScholiaQ39772235MaRDI QIDQ2893389

Daniel F. Heitjan, Yimei Li, E. Paul Wileyto

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01578.x

zbMATH Keywords

predictionimportance samplingfrailty modelBayesian inferenceROC curvessmoking cessation

Mathematics Subject Classification ID

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

Cites Work

• Mixture cure models for multivariate survival data
• Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State
• Bayesian Inference for Smoking Cessation with a Latent Cure State
• Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Bayesian Inference in Econometric Models Using Monte Carlo Integration
• A generalized mover-stayer model for panel data
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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