Add to ORKGCentral role of propensity score in causal inference Adjusting for observed confounding in observational studies Matching and inverse-probability weighting methods Extensions of propensity score to general treatment regime
The propensity score is the conditional probability of exposure to a treatment given observed covari...
Propensity scores are commonly employed in observational study settings where the goal is to estimat...
In the evaluation of the effect of different treatments well-conducted randomized controlled trials ...
Propensity score matching and inverse-probability weighting are popular methods for causal inference...
Summary. The propensity score plays a central role in a variety of causal inference settings. In par...
Central role of propensity score in causal inference Adjusting for observed confounding in observati...
A propensity score is the conditional probability that a participant will be assigned to a treatment...
For observational studies, the propensity score is the probability of treatment for a given set of b...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
© Institute of Mathematical Statistics, 2018. Propensity score matching and weighting are popular me...
There has been recently a striking increase in the use of propensity score methods in health science...
There has been recently a striking increase in the use of propensity score methods in health science...
The most basic approach to causal inference measures the response of a system or population to diffe...
In this article we develop the theoretical properties of the propensity function, which is a general...
In observational studies, treatment assignment is a nonrandom process and treatment groups may not b...
The propensity score is the conditional probability of exposure to a treatment given observed covari...
Propensity scores are commonly employed in observational study settings where the goal is to estimat...
In the evaluation of the effect of different treatments well-conducted randomized controlled trials ...
Propensity score matching and inverse-probability weighting are popular methods for causal inference...
Summary. The propensity score plays a central role in a variety of causal inference settings. In par...
Central role of propensity score in causal inference Adjusting for observed confounding in observati...
A propensity score is the conditional probability that a participant will be assigned to a treatment...
For observational studies, the propensity score is the probability of treatment for a given set of b...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
© Institute of Mathematical Statistics, 2018. Propensity score matching and weighting are popular me...
There has been recently a striking increase in the use of propensity score methods in health science...
There has been recently a striking increase in the use of propensity score methods in health science...
The most basic approach to causal inference measures the response of a system or population to diffe...
In this article we develop the theoretical properties of the propensity function, which is a general...
In observational studies, treatment assignment is a nonrandom process and treatment groups may not b...
The propensity score is the conditional probability of exposure to a treatment given observed covari...
Propensity scores are commonly employed in observational study settings where the goal is to estimat...
In the evaluation of the effect of different treatments well-conducted randomized controlled trials ...