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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213057/
Apr 30, 2014 · Common support is subjectively assessed by examining a graph of propensity scores across treatment and comparison groups (Figure (Figure1 1). Figure 1 Distribution of Propensity Score across Treatment and Comparison GroupsCited by: 383
http://ftp.iza.org/dp1588.pdf
Propensity Score Estimation (sec. 3.1) Step 2: Choose Matching Algorithm (sec. 3.2) Step 3: Check Over-lap/Common Support (sec. 3.3) Step 5: Sensitivity Analysis (sec. 4) Step 4: Matching Quality/Effect Estimation (sec. 3.4-3.7) CVM: Covariate Matching, PSM: Propensity Score Matching The aim of this paper is to discuss these issues and give some practical guidance
http://cega.berkeley.edu/assets/cega_events/31/Matching_Methods.ppt
Most commonly used. Match on the basis of the propensity score P(X) = Pr (d=1X) D indicates participation in project Instead of attempting to create a match for each participant with exactly the same value of X, we can instead match on the probability of participation.
http://fmwww.bc.edu/EC-C/S2013/823/EC823.S2013.nn12.slides.pdf
Propensity score matching Requirements for PSM validity. The common support assumption 0 < P(D = 1jX ) < 1 implies that the probability of receiving treatment for each possible value of the vector X is strictly within the unit interval: as is the probability of not receiving treatment.
https://www.stata.com/meeting/italy14/abstracts/materials/it14_grotta.pdf
Propensity score is the coarsest balancing score: e(X)=f(b(X)) A.Grotta - R.Bellocco A review of propensity score in Stata
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144483/
Jun 08, 2011 · Propensity score matching allows one to estimate the ATT (Imbens, 2004). The most common implementation of propensity score matching is one-to-one or pair matching, in which pairs of treated and untreated subjects are formed, such that matched subjects have similar values of the propensity score.Cited by: 5076
https://www.bristol.ac.uk/media-library/sites/cmm/migrated/documents/prop-scores.pdf
Propensity score matching Propensity Score estimation 6 Matching strategy and ATT estimation Propensity-score matching with STATA Nearest Neighbor Matching Example: PS matching Example: balance checking Caliper and radius matching Overlap checking pscore matching vs regression Grilli and Rampichini (UNIFI) Propensity scores BRISTOL JUNE 2011 2 / 77
https://stats.stackexchange.com/questions/50635/do-we-need-overlap-common-support-in-case-of-a-parametric-regression
One typically assumes "Common Support" (/"Overlap") - which means that for any value of the confounding variables X a unit i can be potentially observed …
https://www.statalist.org/forums/forum/general-stata-discussion/general/1145219-psmatch2-graph-for-propensity-score-matching
Mar 17, 2016 · Not sure if that's what you're asking but take a look at the output that -psmatch2- leaves behind after estimation. For instance, by default -psmatch2- saves the propensity score …
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