Survival Outcome Between Hepatic Resection and Transarterial Embolization for Hepatocellular Carcinoma More Than 10 cm: A Propensity Score Model

2015 ◽  
Vol 39 (6) ◽  
pp. 1510-1518 ◽  
Author(s):  
Yi-Chia Chan ◽  
Catherine S. Kabiling ◽  
Vinod G. Pillai ◽  
Gustavo Aguilar ◽  
Chih-Chi Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Propensity Score ◽  
Hepatic Resection ◽  
Transarterial Embolization ◽  
Survival Outcome ◽  
Propensity Score Model ◽  
Score Model

Surgical Resection Versus Radiofrequency Ablation for Single Hepatocellular Carcinoma ≤ 2 cm in a Propensity Score Model

2016 ◽  
Vol 263 (3) ◽  
pp. 538-545 ◽  
Author(s):  
Po-Hong Liu ◽  
Chia-Yang Hsu ◽  
Cheng-Yuan Hsia ◽  
Yun-Hsuan Lee ◽  
Yi-Hsiang Huang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Radiofrequency Ablation ◽  
Propensity Score ◽  
Surgical Resection ◽  
Propensity Score Model ◽  
Score Model

Should a propensity score model be super? The utility of ensemble procedures for causal adjustment

2018 ◽  
Vol 38 (9) ◽  
pp. 1690-1702 ◽  
Author(s):  
Shomoita Alam ◽  
Erica E. M. Moodie ◽  
David A. Stephens
Keyword(s):  
Propensity Score ◽  
Propensity Score Model ◽  
Score Model

scholarly journals Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification

2020 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Tomoshige Nakamura ◽  
Mihoko Minami
Keyword(s):  
Propensity Score ◽  
Propensity Scores ◽  
Causal Effect ◽  
Model Misspecification ◽  
Robust Estimator ◽  
Propensity Score Model ◽  
Confounding Variables ◽  
Score Model ◽  
Effect Estimation ◽  
Weighting Methods

In observational studies, the existence of confounding variables should be attended to, and propensity score weighting methods are often used to eliminate their e ects. Although many causal estimators have been proposed based on propensity scores, these estimators generally assume that the propensity scores are properly estimated. However, researchers have found that even a slight misspecification of the propensity score model can result in a bias of estimated treatment effects. Model misspecification problems may occur in practice, and hence, using a robust estimator for causal effect is recommended. One such estimator is a subclassification estimator. Wang, Zhang, Richardson, & Zhou (2020) presented the conditions necessary for subclassification estimators to have $\sqrt{N}$-consistency and to be asymptotically well-defined and suggested an idea how to construct subclasses.

scholarly journals Long-Term Outcomes of Hepatic Resection versus Living Donor Liver Transplantation for Hepatocellular Carcinoma: A Propensity Score-Matching Study

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Toshimi Kaido ◽  
Satoshi Morita ◽  
Sachiko Tanaka ◽  
Kohei Ogawa ◽  
Akira Mori ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Propensity Score ◽  
Hepatic Resection ◽  
Propensity Score Matching ◽  
Odds Ratio ◽  
Living Donor ◽  
Survival Rates ◽  
Controlled Study ◽  
Recurrence Rates

Hepatic resection (HR) and liver transplantation (LT) are surgical treatment options for hepatocellular carcinoma (HCC). However, it is clinically impossible to perform a randomized, controlled study to determine the usefulness of these treatments. The present study compared survival rates and recurrence rates of HR versus living donor LT (LDLT) for HCC by using the propensity score method. Between January 1999 and August 2012, 936 patients (732 HR, 204 LDLT) underwent surgical therapy for HCC in our center. Using the propensity score matching, 80 well-balanced patients were defined. The 1- and 5-year overall survival rates were 90% and 53% in the HR group and 82% and 63% in the LT group, respectively. They were not significantly different between the two groups. The odds ratio estimated using the propensity score matching analysis was 0.842 (P=0.613). The 1- and 5-year recurrence rates were significantly lower in the LT group (9% and 21%) than in the HR group (43% and 74%) (P<0.001), and the odds ratio was 0.214 (P=0.001). In conclusion, HR should be considered a valid alternative to LDLT taking into consideration the risk for the living donor based on the results of this propensity score-matching study.

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