Volume 23 - Article 14 | Pages 399–420
A modified new method for estimating smoking-attributable mortality in high-income countries
Abstract
Preston, Glei, and Wilmoth (2010) recently proposed an innovative regression-based method to estimate smoking-attributable mortality in developed countries based on observed lung cancer death rates. Their estimates for females, however, differ appreciably from some published estimates. This article presents a modified version of the Preston, Glei, and Wilmoth method that includes an age-period interaction term in its model. This modified version produces improved estimates of smoking-attributable mortality that are consistent with results from a modified version of the Peto-Lopez indirect method.
Author's Affiliation
- Brian L. Rostron - US Food and Drug Administration, United States of America EMAIL
Other articles by the same author/authors in Demographic Research
The contribution of smoking-attributable mortality to differences in mortality and life expectancy among US African-American and white adults, 2000–2019
Volume 46 - Article 31
Most recent similar articles in Demographic Research
Data errors in mortality estimation: Formal demographic analysis of under-registration, under-enumeration, and age misreporting
Volume 51 - Article 9
| Keywords:
age misreporting,
data errors,
formal demography,
mortality
Socio-behavioral factors contributing to recent mortality trends in the United States
Volume 51 - Article 7
| Keywords:
despair,
health,
mortality,
National Health Interview Survey (NHIS),
smoking,
trends
Climate change and health transitions: Evidence from Antananarivo, Madagascar
Volume 51 - Article 6
| Keywords:
climate change,
health transition,
historical demography,
infectious diseases,
mortality
Two-dimensional contour decomposition: Decomposing mortality differences into initial difference and trend components by age and cause of death
Volume 50 - Article 41
| Keywords:
decomposition methods,
mortality
International completeness of death registration
Volume 50 - Article 38
| Keywords:
data collection,
death,
mortality,
statistics,
sustainable development goals,
vital registration
Cited References: 21
Download to Citation Manager
PubMed
Google Scholar