Open AccessAccounting for Bias Due to Selective Attrition
Author(s) -
Jennifer Weuve,
Eric J. Tchetgen Tchetgen,
M. Maria Glymour,
Todd Beck,
Neelum T. Aggarwal,
Robert S. Wilson,
Denis A. Evans,
Carlos F. Mendes de Leon
Publication year - 2012
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0b013e318230e861
Subject(s) - attrition , confidence interval , demography , logistic regression , hazard ratio , inverse probability weighting , medicine , confounding , cognition , cognitive decline , statistics , gerontology , propensity score matching , mathematics , psychiatry , dementia , disease , dentistry , sociology
Selective attrition may introduce bias into analyses of the determinants of cognitive decline. This is a concern especially for risk factors, such as smoking, that strongly influence mortality and dropout. Using inverse-probability-of-attrition weights, we examined the influence of selective attrition on the estimated association of current smoking (vs. never smoking) with cognitive decline.