Cargando…
Optimal Caliper Width for Propensity Score Matching of Three Treatment Groups: A Monte Carlo Study
Propensity score matching is a method to reduce bias in non-randomized and observational studies. Propensity score matching is mainly applied to two treatment groups rather than multiple treatment groups, because some key issues affecting its application to multiple treatment groups remain unsolved,...
Autores principales: | Wang, Yongji, Cai, Hongwei, Li, Chanjuan, Jiang, Zhiwei, Wang, Ling, Song, Jiugang, Xia, Jielai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859481/ https://www.ncbi.nlm.nih.gov/pubmed/24349029 http://dx.doi.org/10.1371/journal.pone.0081045 |
Ejemplares similares
-
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
por: Austin, Peter C
Publicado: (2011) -
Selecting an Appropriate Caliper Can Be Essential for Achieving Good Balance With Propensity Score Matching
por: Lunt, Mark
Publicado: (2014) -
Greedy caliper propensity score matching can yield variable estimates of the treatment‐outcome association—A simulation study
por: Komen, Joris J., et al.
Publicado: (2021) -
Nearest Neighbour Propensity Score Matching and Bootstrapping for Estimating Binary Patient Response in Oncology: A Monte Carlo Simulation
por: Geldof, Tine, et al.
Publicado: (2020) -
Monte Carlo tuning in the presence of Matching
por: Cooper, B., et al.
Publicado: (2011)