Interval estimation of treatment effects when using propensity score matchingHill, J LReiter, J P
Within-center matching performed better when using propensity score matching to analyze multicen- ter survival data: empirical and Monte Carlo studies. Journal of clinical epidemiology 2013; 66(9): 1029-1037.Gayat E, Thabut G, Christie JD, Mebazaa A, Mary JY, Porcher R. Within-center ...
Baser O. Choosing propensity score matching over regression adjustment for causal inference: when, why and how it makes sense. J Med Econ. 2007;10:379-391.Baser, O. (2007). Choosing propensity score matching over regression adjustment for causal inference: When, why and how it makes sense....
A key feature of the analysis is the elimination of potential firm-level heterogeneities across income groups through the use of propensity score matching (PSM). PSM is used to construct a comparable subsample of firms in HICs and LICs with similar distributions in terms of firm size and indus...
Propensity score matching assigns a propensity for group assignment, which is then used to create 2 groups that are balanced across all possible variables that might influence exposure assignment. When used in the proper conditions, these analytics allow for more accurate and precise estimates of ...
effectiveness study of a medical device.ResultsThe use of propensity score methods in our simulated data scenarios often yielded estimates of relative risk that were close to the true effect, unless the comparison group differed from the exposed group systematically on a factor associated with the ...
On Thu, Oct 20, 2011 at 4:50 AM, Mario Reinhold <[email protected]> wrote: > For my diploma thesis I want to conduct Propensity Score matching. I try and > extimate the wage reduction of persons that became unemployed and find a new > job then after. In order to control for ...
I have intermittent access to email, but will try to return your message as soon as possible. >>> Mario Reinhold <Mario.Reinhold@mailbox.tu-dresden.de> 10/20/11 09:50 >>> For my diploma thesis I want to conduct Propensity Score matching. I try and extimate the wage reduction of ...
Propensity score models are better when post-calibrated arXivView publicationAbstract Theoretical guarantees for causal inference using propensity scores are partly based on the scores behaving like conditional probabilities. However, scores between zero and one, especially when outputted by flexible statisti...
To help alleviate this concern, I match loans of firms with lender-provider relationships to loans of firms without lender-provider relationships using propensity score matching on loan and firm characteristics. I find that loans from lender-providers continue to have lower spreads, larger amounts, ...