TriMatch: An R Package for Propensity Score Matching of Non-binary Treatments

نویسنده

  • Jason M. Bryer
چکیده

The use of propensity score methods (Rosenbaum and Rubin, 1983) have become popular for estimating causal inferences in observational studies in medical research (Austin, 2008) and in the social sciences (Thoemmes and Kim, 2011). In most cases however, the use of propensity score methods have been confined to a single treatment. Several researchers have suggested using propensity score methods with multiple control groups, or to simply perform two separate analyses, one between treatment one and the control and another between treatment two and control. This paper introduces the TriMatch package for R that provides a method for determining matched triplets. Examples from educational and medical contexts will be discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Impact Estimator Using Propensity Score Matching: People’s Business Credit Program to Micro Entrepreneurs in Indonesia

P eople’s business credit program (KUR) has been launched to alleviate poverty through provision of micro financing to micro entrepreneurs in Indonesia This study aims to estimate the impact of KUR program using cross-sectional data and propensity score matching technique (PSM). The survey was conducted on 332 household entrepreneurs, consisting of 155 KUR receivers and 177 non-KUR r...

متن کامل

Parametric and Nonparametric Covariate Balancing Propensity Score for General Treatment Regimes∗

Propensity score matching and weighting are popular methods when estimating causal effects in observational studies. Beyond the assumption of unconfoundedness, however, these methods also require the model for propensity score to be correctly specified. The recently proposed covariate balancing propensity score (CBPS) methodology weakens this assumption by directly optimizing sample covariate b...

متن کامل

استفاده از Propensity Score برای همسان سازی نمونه ها در یک مطالعه مورد شاهدی

Background and Aim: Case-Control studies provide evidence in the area of health. Validity and accuracy of such studies depend to a large extent on the similarity (similar distributions) of the case and control groups according to confounding variables. Matching is a method for controlling or eliminating the effects of important confounders. Matching using propensity score has recently been intr...

متن کامل

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 کامل

The Effect of Inflation Targeting on Indirect Tax Performance in Selected Countries Using Propensity Score Matching Model

Inflation targeting framework has become a predominant monetary approach across the globe. Williams (2015) believes that in a very real sense, almost all economies are inflation targeters -either explicit or implicit- now.(1) Due to the increasing spread of this policy, it is necessary to consider the way it affects macroeconomic variables. using prevalent economic models for evaluating the eff...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013