Results 21 to 30 of about 130,821 (302)
BMC Medical Research Methodology, 2020 Background Propensity scores are widely used to deal with confounding bias in medical research. An incorrectly specified propensity score model may lead to residual confounding bias; therefore it is essential to use diagnostics to assess propensity ...
Emily Granger +3 more
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Propensity scores and the surgeon
British Journal of Surgery, 2006 AbstractBackgroundEvidence-based surgery has been established as a cornerstone of good clinical practice, promising to improve the treatment of patients and the quality of surgical education. However, evidence-based surgery requires dedicated clinicians trained to perform methodologically sound clinical investigations.
Adamina M, Guller U, Weber WP, Oertli D
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Cancer Medicine, 2022 Background Patients diagnosed with cancer often experience considerable challenges with mental health, and those who had more intense psychiatric care prior to their cancer diagnosis have a higher risk of mortality.
Rinku Sutradhar +3 more
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On using a non-probability sample for the estimation of population parameters
Lietuvos Matematikos Rinkinys, 2023 We aim to find a way to effectively integrate a non-probability (voluntary) sample under the data framework, where the study variable is also observed in a probability sample of some statistical survey.
Ieva Burakauskaitė, Andrius Čiginas
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Adding propensity scores to pure prediction models fails to improve predictive performance [PDF]
PeerJ, 2013 Background. Propensity score usage seems to be growing in popularity leading researchers to question the possible role of propensity scores in prediction modeling, despite the lack of a theoretical rationale. It is suspected that such requests are due to
Amy S. Nowacki +3 more
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Estimating propensity scores with missing covariate data using general location mixture models
, 2009 In many observational studies, researchers estimate causal effects using propensity scores, e.g., by matching or sub-classifying on the scores. Estimation of propensity scores is complicated when some values of the covariates aremissing.
Reiter, Jerome P. +3 more
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Specification tests for the propensity score [PDF]
Journal of Econometrics, 2019 This paper proposes new nonparametric diagnostic tools to assess the asymptotic validity of different treatment effects estimators that rely on the correct specification of the propensity score. We derive a particular restriction relating the propensity score distribution of treated and control groups, and develop specification tests based upon it. The
Sant'Anna, Pedro H. C., Song, Xiaojun
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Predicting Risk Propensity Through Player Behavior in DOTA 2: A Cross-Sectional Study
Frontiers in Psychology, 2022 As traditional methods such as questionnaires for measuring risk propensity are not applicable in some scenarios, a nonintrusive method that could automatically identify individuals' risk propensity could be valuable.
Sihua Lyu +8 more
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