There has been recently a striking increase in the use of propensity score methods in health sciences research as a tool to adjust for selection bias in making causal inferences from observational controlled studies. However, reviews of published studies that use these techniques suggest that investigators often do not pay proper attention to thorough verification of appropriate fulfilment of propensity score adjusting properties. By using a case study in which balance is not achieved, we illustrate the need to systematically asses the accomplishment of the balancing property of the propensity score as a critical requirement for obtaining unbiased treatment effects estimates
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...
There has been recently a striking increase in the use of propensity score methods in health science...
Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effect...
The popularity of propensity score matching has given rise to a robust, sometimes informal, debate c...
Background: Propensity score (PS) methods focus on balancing confounders between groups to estimate ...
The assessment of treatment effects from observational studies may be biased with patients not rando...
Summary. The propensity score plays a central role in a variety of causal inference settings. In par...
Propensity-score methods are increasingly being used to reduce the impact of treatment-selection bia...
Central role of propensity score in causal inference Adjusting for observed confounding in observati...
Background/Aims: Treatment effects from observational studies may be biased since the patients were ...
National audienceINTRODUCTION: In observational studies, a significant difference in the outcomes be...
Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...
Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...
There has been recently a striking increase in the use of propensity score methods in health science...
Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effect...
The popularity of propensity score matching has given rise to a robust, sometimes informal, debate c...
Background: Propensity score (PS) methods focus on balancing confounders between groups to estimate ...
The assessment of treatment effects from observational studies may be biased with patients not rando...
Summary. The propensity score plays a central role in a variety of causal inference settings. In par...
Propensity-score methods are increasingly being used to reduce the impact of treatment-selection bia...
Central role of propensity score in causal inference Adjusting for observed confounding in observati...
Background/Aims: Treatment effects from observational studies may be biased since the patients were ...
National audienceINTRODUCTION: In observational studies, a significant difference in the outcomes be...
Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...
Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...