Estimating effects of aging and disease progression in current and former smokers using longitudinal models

Effects of disease progression separate from aging can be estimated in observational studies, although care should be taken in order to make sure assumptions involving this separation are reasonable for a given study. This article demonstrates methods to estimate such effects using temporal changes in lung function for subjects in the COPDGene study.

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Publication Details

Journal
Global Epidemiology
Published
2024-09-30
DOI
https://doi.org/10.1016/j.gloepi.2024.100165
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimating effects of aging and disease progression in current and former smokers using longitudinal models

Surya Prakash Bhatt, David Baraghoshi, Matthew Strand, Matthew Moll
Global Epidemiology
Liver Disease Diagnosis and Treatment
article

Estimating effects of aging and disease progression in current and former smokers using longitudinal models

Surya Prakash Bhatt, David Baraghoshi, Matthew Strand, Matthew Moll
article en

Abstract

Effects of disease progression separate from aging can be estimated in observational studies, although care should be taken in order to make sure assumptions involving this separation are reasonable for a given study. This article demonstrates methods to estimate such effects using temporal changes in lung function for subjects in the COPDGene study.

Global EpidemiologyVol. 8
Brigham and Women's Hospital (US), Colorado School of Public Health (US), National Jewish Health (US), University of Alabama at Birmingham (US), University of Colorado Denver (US)
Sanofi, COPD Foundation, Regeneron Pharmaceuticals, NHLBI Division of Intramural Research
Good health and well-being
Openalex Percentile: Top 75%
Liver Disease Diagnosis and Treatment
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Estimating effects of aging and disease progression in current and former smokers using longitudinal models — Surya Prakash Bhatt, David Baraghoshi, et al. · Global Epidemiology (2024) | TGRS Research Map | TGRS