Results 331 to 340 of about 3,722,033 (368)

Invited Commentary: Propensity Scores

American Journal of Epidemiology, 1999
The propensity score is the conditional probability of exposure to a treatment given observed covariates. In a cohort study, matching or stratifying treated and control subjects on a single variable, the propensity score, tends to balance all of the observed covariates; however, unlike random assignment of treatments, the propensity score may not also ...
M M, Joffe, P R, Rosenbaum
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Propensity Scores

2014
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Propensity Scores

Evaluation Review, 2005
Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment on which the two groups differ.
Jason K, Luellen, William R, Shadish, M H, Clark   +2 more
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Minimum 5-Year Outcomes of Robotic-assisted Primary Total Hip Arthroplasty With a Nested Comparison Against Manual Primary Total Hip Arthroplasty: A Propensity Score-Matched Study.

Journal of the American Academy of Orthopaedic Surgeons, 2020
BACKGROUND Robotic-assisted technology has been a reliable tool in enhancing precision and accuracy of cup placement in total hip arthroplasty (THA). Still, questions remain on the clinical benefit of this technology.
B. Domb, Jeffrey W Chen, Ajay C. Lall, I. Perets, David R. Maldonado   +4 more
semanticscholar   +1 more source

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
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Radical cystectomy versus trimodality therapy for muscle-invasive bladder cancer: a multi-institutional propensity score matched and weighted analysis.

The Lancet Oncology, 2023
A. Zlotta, L. Ballas, A. Niemierko, K. Lajkosz, C. Kuk, G. Miranda, M. Drumm, Andrea Mari, E. Thio, N. Fleshner, G. Kulkarni, M. Jewett, R. Bristow, C. Catton, A. Berlin, S. Sridhar, A. Schuckman, A. Feldman, Matthew Wszolek, D. Dahl, R. J. Lee, P. Saylor, M. Michaelson, D. Miyamoto, A. Zietman, W. Shipley, P. Chung, S. Daneshmand, J. Efstathiou   +28 more
semanticscholar   +1 more source

Confounding: Propensity score adjustment

Nutrition, 2006
In earlier columns [1–3], I highlighted how the determiation of the association between an exposure (e.g., vitamin supplementation) and a disease (e.g., coronary heart disase [CHD]) is not quite so straightforward as it might first ppear. In particular, confounding variables very often obcure the association of real scientific interest. For instance, n
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Propensity Score Analysis

Advances in Developing Human Resources, 2014
The Problem Flexible work arrangements (FWAs) have long been heralded as antecedent to numerous positive organizational attitudes and outcomes. However, results on FWAs benefits are mixed which may be due to differences in employee characteristics. Not all individuals may desire such arrangements.
Lane, Forrest C., Gibbs, SherRhonda
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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
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Understanding propensity scores

International Journal of Evidence-Based Healthcare, 2017
Ritin, Fernandez, Catalin, Tufanaru
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