Estimating and forecasting the smoking-attributable mortality fraction for both genders jointly in over 60 countries

DOI10.1214/19-AOAS1306zbMath1439.62222arXiv1902.07791WikidataQ94672630 ScholiaQ94672630MaRDI QIDQ2179973

Adrian E. Raftery, Yi-Cheng Li

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.07791

zbMATH Keywords

Bayesian hierarchical modeldouble logistic curvePeto-Lopez methodprobabilislic projectionsmoking attributable fraction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

Related Items (2)

Estimating and forecasting the smoking-attributable mortality fraction for both genders jointly in over 60 countries ⋮ Accounting for smoking in forecasting mortality and life expectancy

Uses Software

• Stan
• NUTS

Cites Work

• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
• A review and comparison of age-period-cohort models for cancer incidence
• Estimating and forecasting the smoking-attributable mortality fraction for both genders jointly in over 60 countries
• Thin Plate Regression Splines
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Unnamed Item
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