Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared. While an adequate randomization process in randomized controlled trials (RCTs) ensures a balanced distribution of subjects between groups, the distribution in observational prospective and retrospective studies may be influenced by many confounders. Propensity score (PS) is a statistical technique that was developed more than 30 years ago with the purpose of estimating the probability to be assigned to a group. Once evaluated, the PS could be used to adjust and balance the groups using different methods such as matching, stratification, covariate adjust...
<p>Propensity score (PS) methodology is a common approach to control for confounding in nonexperimen...
The assessment of treatment effects from observational studies may be biased with patients not rando...
A major limitation of making inference about treatment effect based on observational data from a non...
Intergroup comparability is of paramount importance in clinical research since it is impossible to d...
The assessment of treatment effects from observational studies may be biased with patients not rando...
The principal aim of analysis of any sample of data is to draw causal inferences about the effects o...
Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
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...
National audienceINTRODUCTION: In observational studies, a significant difference in the outcomes be...
Experimental studies or randomized clinical trail in health care setting are usually the preferred t...
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure effects of ...
Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effect...
A propensity score is the conditional probability that a participant will be assigned to a treatment...
<p>Propensity score (PS) methodology is a common approach to control for confounding in nonexperimen...
The assessment of treatment effects from observational studies may be biased with patients not rando...
A major limitation of making inference about treatment effect based on observational data from a non...
Intergroup comparability is of paramount importance in clinical research since it is impossible to d...
The assessment of treatment effects from observational studies may be biased with patients not rando...
The principal aim of analysis of any sample of data is to draw causal inferences about the effects o...
Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
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...
National audienceINTRODUCTION: In observational studies, a significant difference in the outcomes be...
Experimental studies or randomized clinical trail in health care setting are usually the preferred t...
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure effects of ...
Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effect...
A propensity score is the conditional probability that a participant will be assigned to a treatment...
<p>Propensity score (PS) methodology is a common approach to control for confounding in nonexperimen...
The assessment of treatment effects from observational studies may be biased with patients not rando...
A major limitation of making inference about treatment effect based on observational data from a non...