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...
Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Background: Propensity score matching represents one of the most popular techniques to deal with tre...
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...
Propensity score (PS) methods offer certain advantages over more traditional regression methods to c...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Inferences about intended effects of treatments are ideally investigated using randomized control tr...
The assessment of treatment effects from observational studies may be biased with patients not rando...
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure effects of ...
Experimental studies or randomized clinical trail in health care setting are usually the preferred t...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Background: Propensity score matching represents one of the most popular techniques to deal with tre...
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...
Propensity score (PS) methods offer certain advantages over more traditional regression methods to c...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Inferences about intended effects of treatments are ideally investigated using randomized control tr...
The assessment of treatment effects from observational studies may be biased with patients not rando...
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure effects of ...
Experimental studies or randomized clinical trail in health care setting are usually the preferred t...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Background: Propensity score matching represents one of the most popular techniques to deal with tre...