Results 41 to 50 of about 194,588 (164)
Prognostic score-based model averaging approach for propensity score estimation
Background Propensity scores (PS) are typically evaluated using balance metrics that focus on covariate balance, often without considering their predictive power for the outcome.
Daijiro Kabata +2 more
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Propensity Score Weighting for Causal Inference with Clustered Data
Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging.
Yang Shu
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Purpose: To assess the filter tilting and outcomes of the Celect and Denali inferior vena cava (IVC) filters by using a propensity score-matching analysis.
Jae Heung Bae, Sang Yub Lee
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Background The diagnostic process is a key element of medicine but it is complex and prone to errors. Infectious diseases are one of the three categories of diseases in which diagnostic errors can be most harmful to patients.
Anna M. Eikenboom +3 more
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Propensity Score Method for Partially Matched Omics Studies
This paper focuses on the problem of partially matched samples in the presence of confounders. We propose using propensity score matching to adjust for confounding factors for the subset of data with incomplete pairs, followed by integrating the P ...
Pei-Fen Kuan
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Propensity Scores and Palliative Care [PDF]
Dear Editor: Understanding nuances of the opportunities for palliative care to improve quality of care while reducing costs is an important topic, and I was glad to see Starks and colleagues approach this issue in their recent article on cost savings of palliative care by different hospital lengths of stay.1 I had several concerns, however, about ...
openaire +2 more sources
Background The generalized propensity score is an extension of the conventional propensity score to settings with a categorical exposure with more than two levels of treatment or exposure.
Peter C. Austin, David E. Austin
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Covariate adjusted nonparametric methods under propensity analysis
Propensity score is one of the most commonly used score functions in adjusting for covariates effect in statistical inference. It is important to understand the impact with propensity score in case some of the prespecified covariates are severely ...
Jiabu Ye, Dejian Lai
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Generalized Propensity Score Matching with Multilevel Treatment Options
# Background Although conventional form of propensity score matching (PSM) is widely used in outcomes research field, its application on multilevel treatment is limited. # Objectives This article reviews PSM and illustrates their use when there are more
Onur Baser
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Propensity score matching and randomization
We used elective total joint replacement (TJR) as a case study to demonstrate selection bias toward offering this procedure to younger and healthier patients.Longitudinal data from 2,202 men were integrated with hospital data and mortality records. Study participants were followed from recruitment (1996-1999) until TJR, death, or 2007 (end of follow-up)
Mnatzaganian, George +3 more
openaire +4 more sources

