Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption
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Publication:1940014
DOI10.1214/12-AOAS557zbMath1257.62129arXiv1301.2429WikidataQ37467343 ScholiaQ37467343MaRDI QIDQ1940014
Hao Wang, Sandra D. Griffith, Saul Shiffman, Daniel F. Heitjan
Publication date: 5 March 2013
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1301.2429
Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Applications of statistics (62P99) Applications of statistics to psychology (62P15)
Related Items (5)
A finite mixture of multiple discrete distributions for modelling heaped count data ⋮ Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland ⋮ Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption ⋮ A statistical approach to address the problem of heaping in self-reported income data ⋮ Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth-death processes
Uses Software
Cites Work
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- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Heaping and its consequences for duration analysis: a simulation study
- Ignorability and coarse data
- Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption
- Measures and tests of heaping in discrete quantitative distributions
- Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data
- Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
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