JSTOR Daily

COVARIATE BALANCING PROPENSITY SCORE BY TAILORED LOSS FUNCTIONS

In observational studies, propensity scores are commonly estimated by maximum likelihood but may fail to balance high-dimensional pretreatment covariates even after specification search. We introduce ...
ascopubs.org

Inverse-probability weighted and propensity score-based analysis of long-term clinical outcomes comparing 3D conformal radiotherapy (3DCRT) with intensity-modulated radiation ...

A nomogram associated with high probability of malignant nodes in the surgical specimen after trimodality therapy of patients with esophageal cancer (EC). This is an ASCO Meeting Abstract from the ...
ascopubs.org

Efficacy of High-Intensity Local Treatment for Metastatic Urothelial Carcinoma of the Bladder: A Propensity Score–Weighted Analysis From the National Cancer Data Base

HER2 Gene Amplification Testing by Fluorescent In Situ Hybridization (FISH): Comparison of the ASCO-College of American Pathologists Guidelines With FISH Scores Used for Enrollment in Breast Cancer ...
JSTOR Daily

Commentary: On Two Approaches to Weighting in Causal Inference

Setodji CM, McCaffrey DF, Burgette LF, Almirall D, Griffin BA. The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology. 2017.
TCTMD

Propensity Score-Weighted Comparison of 30-day Outcomes for Transcatheter Mitral Valve Replacement Versus Repeat Surgical Mitral Valve Replacement – A Contemporary Assessment ...

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