Open AccessInverse Probability Weighting in Sexually Transmitted Infection/Human Immunodeficiency Virus Prevention Research: Methods for Evaluating Social and Community Interventions
Author(s) -
Sheri A. Lippman,
Starley B. Shade,
Alan Hubbard
Publication year - 2010
Publication title -
sexually transmitted diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.507
H-Index - 105
eISSN - 1537-4521
pISSN - 0148-5717
DOI - 10.1097/olq.0b013e3181d73feb
Subject(s) - inverse probability weighting , gonorrhea , medicine , marginal structural model , psychological intervention , confounding , sexually transmitted disease , covariate , chlamydia , selection bias , randomized controlled trial , demography , statistics , syphilis , human immunodeficiency virus (hiv) , propensity score matching , immunology , psychiatry , mathematics , pathology , sociology
Intervention effects estimated from nonrandomized intervention studies are plagued by biases, yet social or structural intervention studies are rarely randomized. There are underutilized statistical methods available to mitigate biases due to self-selection, missing data, and confounding in longitudinal, observational data permitting estimation of causal effects. We demonstrate the use of Inverse Probability Weighting (IPW) to evaluate the effect of participating in a combined clinical and social sexually transmitted infection/human immunodeficiency virus prevention intervention on reduction of incident chlamydia and gonorrhea infections among sex workers in Brazil.