Propensity Scores
By Jason Luellen, W. Shadish, M. H. Clark. 2005
338 citations recorded by the source corpus.
Subfields: Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Kosuke Imai
- Elizabeth A. Stuart
- Dan Nagin
- David A. van Dyk
- F. Cullen
- Arjan A. J. Blokland
- Cheryl Lero Jonson
- Peter C. Austin
Citations in the corpus
- Drama Theory and Entertainment Education: Exploring the Effects of a Radio Drama on Behavioral Intentions to Limit HIV Transmission in Ethiopia (2007, background): “In essence, these procedures assumed that people with the same propensity scores who selected to listen or not listen to the drama were comparable because their covariates have been balanced (Luellen et al., 2005).”
- Assessing the Impact of First-Time Imprisonment on Offenders’ Subsequent Criminal Career Development: A Matched Samples Comparison (2009, methodology): “…the propensity score is replaced by a hazard model of treatment 6 A nontechnical survey of methods and results about propensity scores is given by Joffe and Rosenbaum (1999), and for several case-studies, see Rosenbaum and Rubin (1984, 1985), Smith (1997) and Dehejia and Wahba (1999). at t in…”
- Imprisonment and Reoffending (2009, methodology): “A nontechnical survey of methods and results about propensity scores is given by Joffe and Rosenbaum (1999).”
- Journal of the American Statistical Association Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery (neutral): “Note that in the current example, there are no propensity scores because it is a case–control study (Joffe and Rosenbaum 1999).”
- Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. (2003, background): “The use of propensity scores is increasing (8, 9) and is appealing in the analysis of studies with rare events (outcomes) and multiple confounders (8).”
- Causal Inference With General Treatment Regimes (2004, methodology): “In this article we develop methods and theory that encompass the generalized propensity scores of Imbens (2000) and Joffe and Rosenbaum (1999).”
- Matching methods for causal inference: A review and a look forward (2010, methodology): “In the first method, the propensity score is still a scalar function of the covariates (e.g., Joffe and Rosenbaum, 1999; Lu et al., 2001).”
- Early exclusive breastfeeding reduces the risk of postnatal HIV-1 transmission and increases HIV-free survival (2005, methodology): “Cox proportional hazards models were used to investigate the effect of the early breastfeeding pattern on PNT or PNT plus death, with and without adjusting for other explanatory variables, including maternal and neonatal vitamin A supplementation, household income, maternal baseline CD4 cell count, ”
- Effect of clopidogrel pretreatment before percutaneous coronary intervention in patients with ST-elevation myocardial infarction treated with fibrinolytics: the PCI-CLARITY study. (2005, methodology): “A propensity score allows for adjustment for potential selection bias when comparing the effect of randomized treatment allocation within a subset of patients.(11,12) The propensity score was constructed by applying a forward selection algorithm with an inclusion P value threshold of .”