Results 311 to 320 of about 206,310 (335)
Some of the next articles are maybe not open access.
The American Statistician, 2008
Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N. +2 more
openaire +2 more sources
Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N. +2 more
openaire +2 more sources
Propensity Score Matching: Retrospective Randomization?
The Journal of Foot and Ankle Surgery, 2017Randomized controlled trials are viewed as the optimal study design. In this commentary, we explore the strength of this design and its complexity. We also discuss some situations in which these trials are not possible, or not ethical, or not economical.
openaire +2 more sources
Propensity score matching [PDF]
, 2001 The typical evaluation problem aims at quantifying the impact of a ÔtreatmentÕ (e.g. a training programme, a reform, or a medicine) on an outcome of interest (such as earnings, school attendance or illness indicators), where a group of units, the ÔtreatedÕ, receive the ÔtreatmentÕ, while a second group remains untreated.
openaire
Matched or unmatched analyses with propensity‐score–matched data?
Statistics in Medicine, 2018Propensity‐score matching has been used widely in observational studies to balance confounders across treatment groups. However, whether matched‐pairs analyses should be used as a primary approach is still in debate. We compared the statistical power and type 1 error rate for four commonly used methods of analyzing propensity‐score–matched samples with
openaire +3 more sources
[Propensity score matching in SPSS].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2016To realize propensity score matching in PS Matching module of SPSS and interpret the analysis results.The R software and plug-in that could link with the corresponding versions of SPSS and propensity score matching package were installed. A PS matching module was added in the SPSS interface, and its use was demonstrated with test data.Score estimation ...
Fuqiang, Huang +5 more
openaire +1 more source
Propensity Score Matching in Accounting Research
, 2017Jonathan E. Shipman +2 more
semanticscholar +1 more source
Propensity Scores and Matching Methods
2018Many studies aim to estimate causal effects of risk factors, interventions, or programs, on outcomes of interest. While randomization is generally seen as the preferred design for estimating causal effects it is not always possible to randomize the “treatments” of interest, especially in the social sciences. Propensity scores are a useful tool that can
openaire +1 more source