Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: st: Propensity Score Matching
Cameron McIntosh <firstname.lastname@example.org>
STATA LIST <email@example.com>
RE: st: Propensity Score Matching
Sun, 19 Feb 2012 15:01:17 -0500
Li, L. (May 13, 2011). Propensity Score Analysis with Matching Weights. COBRA Preprint Series, Article 79. http://biostats.bepress.com/cobra/ps/art79
Fan, X., & Nowell, D.A. (2011). Using Propensity Score Matching in Educational Research. Gifted Child Quarterly, 55(1), 74-79.
Austin, P.C. (2008). A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine, 27(12), 2037–2049.http://www.epi.msu.edu/janthony/requests/propensity/Austin_A%20critical%20appraisal%20of%20propensity%20score.pdf
Stuart, E.A. (2010). Matching Methods for Causal Inference: A Review and a Look Forward. Statistical Science, 25(1), 1-21.http://arxiv.org/PS_cache/arxiv/pdf/1010/1010.5586v1.pdf
Dehejia, R.H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. The Review of Economics and Statistics, 84(1), 151–161.http://isc.temple.edu/economics/Econ8190/Readings/DehejiaWahba02.pdf
Thoemmes, F.J., & Kim, E.S. (2011). A Systematic Review of Propensity Score Methods in the Social Sciences. Multivariate Behavioral Research, 46(1), 90-118,
Austin, P.C. (2011). A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality. Multivariate Behavioral Research, 46(1), 119-151.
Heinrich, C., Maffioli, A., & Vázquez, G. (2010). A primer for applying propensity-score matching. Impact-Evaluation Guidelines, Technical Notes No. IDB-TN-161. Office of Strategic Planning and Development Effectiveness, Inter-American Development Bank.http://idbdocs.iadb.org/wsdocs/getdocument.aspx?docnum=35320229
Haviland, A., Nagin, D.S., & Rosenbaum, P.R. (2007). Combining propensity score matching and group-based trajectory analysis in an observational study. Psychological Methods, 12(3), 247–267
Haviland, A., Nagin, D.S., Rosenbaum, P.R., & Tremblay, R.E. (2008). Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data. Developmental Psychology, 44(2), 422-436.http://www-stat.wharton.upenn.edu/~rosenbap/gangDevPsy.pdf
Sekhon, J.S. (2011). Multivariate and propensity score matching software with automated balance optimization: the Matching package for R. Journal of Statistical Software, 42(7).http://sekhon.berkeley.edu/papers/MatchingJSS.pdf
Sekhon, J.S. (May 20, 2011). Multivariate and Propensity Score Matching with Balance Optimization. Package ‘Matching’, Version 4.7-14.http://cran.r-project.org/web/packages/Matching/Matching.pdfhttp://cran.r-project.org/web/packages/Matching/index.html
> From: firstname.lastname@example.org
> To: email@example.com
> Subject: re: st: Propensity Score Matching
> Date: Sun, 19 Feb 2012 11:31:25 -0800
> This is sufficiently unclear that I can't understand what you are doing.
> What does "k nearest matching method" mean?
> Regardless, it is always recommended that before posting a query to the
> listserve, you check the archives. Moreover, you could easily perform a
> search "all" in Stata to find all sorts of programs. Additionally, you could
> perform a google search for "performing propensity score matching in Stata".
> All of these methods would provide you with specific answers to your very
> general question.
> Now that I got that out of the way, I suggest you look at -psmatch- (findit
> psmatch), which is a very complete user-written package.
> Date: Sat, 18 Feb 2012 12:27:21 -0800 (PST)
> From: vikramfinavker <firstname.lastname@example.org>
> Subject: st: Propensity Score Matching
> Dear Statalisters,
> i want to use Propensity score matching method to identify firms which has
> similar characteristics suggesting them to use X item and the only
> difference between these firms is their actual use of X item. I am using K
> nearest matching method. Now after identifying firms i want to do a Matched
> Sample Test
> X item Users X item Non Users
> N Mean Median Mean Median Diff in Mean
> Could anyone please tell me how can i do this?
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
* For searches and help try: