PMC47 EFFICIENCY OF HYBRID APPLICATIONS OF EXACT COVARIATE MATCHING AND PROPENSITY SCORE
نویسندگان
چکیده
منابع مشابه
Covariate balancing propensity score
The propensity score plays a central role in a variety of causal inference settings. In particular, matching and weighting methods based on the estimated propensity score have become increasingly common in the analysis of observational data. Despite their popularity and theoretical appeal, the main practical difficulty of these methods is that the propensity score must be estimated. Researchers...
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 کاملCovariate selection and propensity score specification in causal inference
This thesis makes contributions to the statistical research field of causal inference in observational studies. The results obtained are directly applicable in many scientific fields where effects of treatments are investigated and yet controlled experiments are difficult or impossible to implement. In the first paper we define a partially specified directed acyclic graph (DAG) describing the i...
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: Value in Health
سال: 2008
ISSN: 1098-3015
DOI: 10.1016/s1098-3015(10)70581-7