The need for a propensity score analysis
Propensity score analysis for time dependent exposure
... only need to keep one row with the maximum cumulative hazard for each combination of PtID and TimeStrata, which can be easily performed by using the ddply() ...
13
Community College Honors Benefits: A Propensity Score Analysis
... colleges need programs like honors to fulfill their mission of serving students who have been under-served and are under-repre- sented in higher education” ...
27
PSAgraphics: An R Package to Support Propensity Score Analysis
... particular propensity score estimates (and usually there will be more than one way to estimate propensity ...generally need to be informed about how either quantitative or categorical ...
23
Propensity score based data analysis
... 5 PROPENSITY SCORE BASED TREATMENT EFFECTS ...data analysis of matched data can be done in the same way as for stratified ...the analysis of stratified ...
31
Propensity score based data analysis
... The package nonrandom is a tool for a comprehensive data analysis using stratifi- cation, matching and covariate adjustment by PS. Several functions are implemented, starting from the selection of the PS model up ...
31
Propensity Score Analysis with Matching Weights
... the propensity scores are not too close to 0 or ...the propensity scores concentrates more in the middle range of unit interval (Figure ...some propensity scores become extreme, the two estimators ...
18
A propensity score analysis of public incentives: The Italian case
... I define outcome Y i for firm i from a sample of i = 1.... N firms. I assume that Y i is binary and represents whether or not a firm is rationed. The observed covariates X which are used in this analysis are the ...
9
Propensity score matching methods for the analysis of recurrent events
... we need to balance the observed and unobserved outcome-related covariates between treatment and control groups and then compare their ...the propensity score matching (PSM) technique initiated by ...
104
Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
... Recently, results of a meta-analysis of randomized controlled trials (RCT) have found that exposure to higher statin doses might be associated with higher risks of diabetes (Odds ratio [OR] =1.12 [95 % confidence ...
10
What is propensity score modelling?
... same propensity score; one has cricoid pressure applied and the other has ...the score, if we assume there are no unmeasured confounders and that these two are the only ones to have this ...
7
Matching on the Estimated Propensity Score
... Propensity score matching estimators (Rosenbaum and Rubin, 1983) are widely used to estimate treatment effects when all treatment confounders are ...the propensity score as the conditional ...
22
On the inefficiency of propensity score matching
... the propensity score is known. If the propensity score is unknown, its estimation would often add even further to the variance of the PSM estimator, see Heckman et ...the propensity ...
12
Propensity score matching and policy impact analysis - a demonstration in EViews
... the propensity score is based only on observable characteristics clearly shows that the method assumes away unobservable heterogeneity that might arise from purposive placement into a ...
59
Parole supervision and re-offending: a propensity score matching analysis
... this analysis, offenders who were serving parole orders of 12 months or more were excluded because data on supervision levels after the first year were not recorded in sufficient ...
43
Using classification tree analysis to generate propensity score weights
... propensity score have generally found that machine-learning models outperform logistic regression in terms of reduced bias ...tree analysis (CTA) [18,19] and assess whether it offers a superior ...
39
Catholic Schools and Bad Behavior: A Propensity Score Matching Analysis
... the propensity score and testing whether the average propensity score of the catholic school attendants and the public school attendants are equal within each ...the propensity ...
42
Propensity Score Adjustment in Measurement Invariance
... estimate propensity score when the covariates have complex ...different propensity score estimation methods would perform differently in the simplest ...
62
Latent Variables and Propensity Score Matching
... If the model we present above is true, the latent variable can be estimated from the manifest variables using factor analysis approach. Specification of a latent variable factor model has to be driven by ...
29
The performance of estimators based on the propensity score
... to propensity score misspecification than IPW as it remains consistent if the misspecified propensity score model is a monotone transformation of the true model (see the simulation results in ...
21
Community College Honors Education and Student Outcomes: A Propensity Score Analysis
... Summary of Findings The data analyses reported are based upon six research questions that were tested at a .05 level of significance. The variables studied include final course grade in Composition II, a required ...
104