Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations. The purpose of this study is to provide a nonmathematical guide for clinicians at the stage of designing a PSM-based study. We provide a seed of thought for considering whether applying PSM would be appropriate and, if so, the scope of the list of variables. Although PSM may be simple, its results could vary substantially according to how the propensity score is constructed. Misleading results can be avoided through a critical review of the process of PSM
Propensity score (PS) techniques are useful if the number of potential confounding pretreatment vari...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
Propensity score matching techniques are becoming increasingly common as they afford applied practit...
Abstract. Propensity score matching (PSM) has become a popular approach to estimate causal treatment...
Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. ...
Background: Nursing intervention studies often suffer from a selection bias introduced by failure of...
Propensity score matching (PSM) has become a popular approach for research studies when randomizatio...
Propensity score matching (PSM) is a popular technique for selecting a sample in observational resea...
Propensity score matching is a statistical technique in which a treatment case is matched with one o...
Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessin...
BACKGROUND. Health services researchers are often interested in the effect of a treatment or a servi...
Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias ...
Propensity score matching is a relatively new technique used in observational studies to approximate...
Propensity score matching is a useful tool to analyze observational data in clinical investigations,...
Propensity-score methods are increasingly being used to reduce the impact of treatment-selection bia...
Propensity score (PS) techniques are useful if the number of potential confounding pretreatment vari...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
Propensity score matching techniques are becoming increasingly common as they afford applied practit...
Abstract. Propensity score matching (PSM) has become a popular approach to estimate causal treatment...
Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. ...
Background: Nursing intervention studies often suffer from a selection bias introduced by failure of...
Propensity score matching (PSM) has become a popular approach for research studies when randomizatio...
Propensity score matching (PSM) is a popular technique for selecting a sample in observational resea...
Propensity score matching is a statistical technique in which a treatment case is matched with one o...
Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessin...
BACKGROUND. Health services researchers are often interested in the effect of a treatment or a servi...
Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias ...
Propensity score matching is a relatively new technique used in observational studies to approximate...
Propensity score matching is a useful tool to analyze observational data in clinical investigations,...
Propensity-score methods are increasingly being used to reduce the impact of treatment-selection bia...
Propensity score (PS) techniques are useful if the number of potential confounding pretreatment vari...
Real-world data are increasingly available to investigate real-world' safety and efficacy. However, ...
Propensity score matching techniques are becoming increasingly common as they afford applied practit...