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Estudo de Coorte Pareada×Propensity Score Matching×
ÁreaEpidemiologiaEstatística para pesquisa
FamíliaProcess / pipelineProcess / pipeline
Ano de origemMid-20th century; propensity-score variant 19831983
Autor originalEstablished practice; propensity-score matching formalized by Rosenbaum & Rubin (1983)Paul Rosenbaum and Donald Rubin
TipoObservational analytic study designMethod
Fonte seminalRothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗
Outros nomesmatched follow-up study, paired cohort study, propensity-matched cohort, matched prospective studyPSM, propensity score weighting, covariate balance
Relacionados53
ResumoA matched cohort study is an observational design in which each exposed participant is paired with one or more unexposed counterparts who share key characteristics — such as age, sex, or comorbidity status — before both groups are followed forward in time to compare incident outcomes. Matching controls for measured confounders at the design stage, reducing bias that would otherwise require statistical adjustment alone.Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias.
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ScholarGateComparar métodos: Matched Cohort Study · Propensity Score Matching. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare