Results 301 to 310 of about 263,464 (354)
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To use or not to use propensity score matching?

Pharmaceutical statistics, 2020
Propensity score matching (PSM) has been widely used to reduce confounding biases in observational studies. Its properties for statistical inference have also been investigated and well documented.
Jixian Wang
semanticscholar   +1 more source

Propensity-Score Matching: The "Devil is in the Details" Where More May Be Hidden Than You Know.

American Journal of Medicine, 2020
Propensity-score matching has been used with increasing frequency in the analyses of non-prespecified subgroups of randomized clinical trials as well as in retrospective analyses of clinical trial data sets, registries, observational studies, electronic ...
J. Reiffel
semanticscholar   +1 more source

Propensity Score Matching

2011
Propensity-scores and propensity-score-matching can be used respectively for adjusting covariates in a multiple regression analysis and for stratification/matching of asymmetric observational clinical data, and have recently been emphasized by Dr. D’Agostino in an invited paper in Circulation as a promising additional tool for analyzing such data (D ...
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Effects of rail transit on individual travel mode shares: A two-dimensional propensity score matching approach

, 2020
We examine the impact of the opening of the Circle Line (CCL) in Singapore on individuals’ travel mode choice. Using data from cross-sectional surveys conducted before and after the CCL opening, we investigate how individuals’ travel mode choices changed
Fangzhou Dai, Mi Diao, T. Sing
semanticscholar   +1 more source

Propensity Score Matching

The American Statistician, 2008
Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N.   +2 more
openaire   +2 more sources

Propensity Score Matching

Medical Care, 2003
Health services researchers are often interested in the effect of a treatment or a service in situations in which randomization is difficult or impossible. One useful alternative involves propensity score methods, a means for matching members of different groups based on a range of characteristics.
openaire   +2 more sources

A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting

Biometrical journal. Biometrische Zeitschrift, 2019
Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate causal effects in observational studies. We address two open issues: how to estimate propensity scores and assess covariate balance.
M. Cannas, B. Arpino
semanticscholar   +1 more source

Propensity score matching methodology

Video Journal of Biomedicine, 2022
Learn more about propensity score matching and how it is used to evaluate data in observational studies that do not have an internal comparator in this animated video. To find out more about how the methodology was used to evaluate effectiveness data from a patient drug registry and an open-label study, please refer to the two research articles cited ...
openaire   +1 more source

Propensity Scores and Propensity Score Matching for Assessing Multiple Confounders

2012
In the Chap. 23 methods for assessing confounders were reviewed. Propensity score are ideal for assessing confounding, particularly, if multiple confounders are in a study. E.g., age and cardiovascular risk factors may not be similarly distributed in two treatment groups of a parallel-group study. Propensity score matching is used to make observational
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Propensity score matching

2023
Candace Moore   +2 more
openaire   +2 more sources

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