A Tutorial for Propensity Score Weighting for Moderation Analysis With Categorical Variables
An Application Examining Smoking Disparities Among Sexual Minority Adults
Dados Bibliográficos
| ID | 9103907 |
|---|---|
| Autores | Beth Ann Griffin (0000-0002-2391-4601, RAND Corporation, Arlington, VA, autor correspondente), Megan S Schuler (0000-0002-6009-8367, RAND Corporation, Arlington, VA, autor correspondente), Matt Cefalu (Disney Streaming), Lynsay Ayer (0000-0003-1111-8197, RAND Corporation, Arlington, VA, autor correspondente), Mark D Godley (0000-0002-5235-0366, Chestnut Health Systems), Mark Godley (Chestnut Health Systems, Normal, IL), Noah Greifer (0000-0003-3067-7154, Harvard Institute for Quantitative Social Science, Cambridge, MA), Donna L Coffman (0000-0001-6305-6579, University of South Carolina, Columbia, SC), Daniel F Mccaffrey (0000-0003-1196-5273, ETS, 660 Rosedale Road, Princeton, NJ) |
| Ano | 2023 |
| Volume | 61 |
| Fascículo | 12 |
| Páginas | 836-845 |
| Data de publicação | 2023-12-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001922 |
| PMID | 37782463 |
| OpenAlex | W4387241630 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 60 |
OBJECTIVE: To provide step-by-step guidance and STATA and R code for using propensity score (PS) weighting to estimate moderation effects with categorical variables. RESEARCH DESIGN: Tutorial illustrating the key steps for estimating and testing moderation using observational data. Steps include: (1) examining covariate overlap across treatment groups within levels of the moderator; (2) estimating the PS weights; (3) evaluating whether PS weights improved covariate balance; (4) estimating moderated treatment effects; and (5) assessing the sensitivity of findings to unobserved confounding. Our illustrative case study uses data from 41,832 adults from the 2019 National Survey on Drug Use and Health to examine if gender moderates the association between sexual minority status (eg, lesbian, gay, or bisexual [LGB] identity) and adult smoking prevalence. RESULTS: For our case study, there were no noted concerns about covariate overlap, and we were able to successfully estimate the PS weights within each level of the moderator. Moreover, balance criteria indicated that PS weights successfully achieved covariate balance for both moderator groups. PS-weighted results indicated there was significant evidence of moderation for the case study, and sensitivity analyses demonstrated that results were highly robust for one level of the moderator but not the other. CONCLUSIONS: When conducting moderation analyses, covariate imbalances across levels of the moderator can cause biased estimates. As demonstrated in this tutorial, PS weighting within each level of the moderator can improve the estimated moderation effects by minimizing bias from imbalance within the moderator subgroups
Categorical variable · Confounding · Covariate · Econometrics · Moderation · Observational study · Propensity score matching · Statistics · Weighting · Advanced Causal Inference Techniques · Mathematics · Medicine · Psychology · Reliability and Agreement in Measurement · Statistical Methods and Bayesian Inference
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| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 3 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |