Multivariate and Propensity Score Matching Software with Automated Balance Optimization: TheMatchingPackage forR
نویسندگان
چکیده
منابع مشابه
Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R
Matching is an R package which provides functions for multivariate and propensity score matching and for finding optimal covariate balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance actually has been obtained are provided. The underlying matching algorithm is written in C++, makes extensive use of system BLAS and scales efficien...
متن کاملPropensity Score Matching with Limited Overlap
In this article, we have demostrated the application of two newly proposed estimators which accounts for lack of overlap under propensity score matching on a case study involing the analysis of health expenditure data for the United States. Citation: Baser, Onur, (2007) "Propensity Score Matching with Limited Overlap." Economics Bulletin, Vol. 9, No. 8 pp. 1-8 Submitted: March 17, 2007. Accepte...
متن کاملConsequences of Traffic Accidents Transferred by Helicopter and Ground Ambulance: Propensity Score Matching
Introduction: The main task of the emergency medical system is to provide primary care and transfer the injured to a medical center. Studies have been conducted to investigate the outcome of helicopter and ground ambulance casualties, but they show different results. These different results may be due to the type of study, statistical methods, differences in pre-hospital emergency systems, an...
متن کاملA Propensity Score Matching Analysis
The purpose of this paper is to determine how much is the “bonus” or “prize” to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise...
متن کاملPropensity score matching and complex surveys
Researchers are increasingly using complex population-based sample surveys to estimate the effects of treatments, exposures and interventions. In such analyses, statistical methods are essential to minimize the effect of confounding due to measured covariates, as treated subjects frequently differ from control subjects. Methods based on the propensity score are increasingly popular. Minimal res...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2011
ISSN: 1548-7660
DOI: 10.18637/jss.v042.i07