Cargando…
Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples
Propensity-score matching allows one to reduce the effects of treatment-selection bias or confounding when estimating the effects of treatments when using observational data. Some authors have suggested that methods of inference appropriate for independent samples can be used for assessing the stati...
Autor principal: | Austin, Peter C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd.
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3110307/ https://www.ncbi.nlm.nih.gov/pubmed/21337595 http://dx.doi.org/10.1002/sim.4200 |
Ejemplares similares
-
Total Hip Arthroplasty for Developmental Dysplasia of Hip vs Osteoarthritis: A Propensity Matched Pair Analysis
por: Siddiqi, Ahmed, et al.
Publicado: (2020) -
Changes in the Effective Connectivity of the Social Brain When Making Inferences About Close Others vs. the Self
por: Esménio, Sofia, et al.
Publicado: (2020) -
Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score
por: Austin, Peter C.
Publicado: (2010) -
Abstract: Pre-Pectoral Vs. Sub-Pectoral Breast Reconstruction-a Matched-Pair Analysis of Clinical Outcomes
por: Sorice, Sarah C., et al.
Publicado: (2018) -
Male Breast Cancer Prognostic Factors Versus Female Counterparts with Propensity Scores and Matched-Pair Analysis
por: Yu, Edward, et al.
Publicado: (2015)