Results 11 to 20 of about 263,464 (354)

Matching on the Estimated Propensity Score [PDF]

Econometrica, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Abadie, Alberto Abadie, G. Imbens, G. Imbens   +3 more
semanticscholar   +4 more sources

SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING

Journal of Economic Surveys, 2008
Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study.
Marco Caliendo
exaly   +2 more sources

Variance estimation when using propensity‐score matching with replacement with survival or time‐to‐event outcomes

Statistics in Medicine, 2020
Propensity‐score matching is a popular analytic method to estimate the effects of treatments when using observational data. Matching on the propensity score typically requires a pool of potential controls that is larger than the number of treated or ...
Peter C Austin, Guy Cafri
exaly   +2 more sources

Propensity Score Matching [PDF]

, 2014
Income gains from participation in economic programs are estimated as the difference between income with the program and that without it. The "with" data can be collected without much difficulty. But the "without" data are fundamentally unobserved, since
Ben Grunwald, John M. MacDonald
core   +3 more sources

Propensity Score Matching and Clinical Interpretation [PDF]

Radiol Imaging Cancer
Okumura K.
europepmc   +3 more sources

Effect of Dihydropyridine Calcium Channel Blocker on Mortality of Hypertension Patients With Moderate-Severe Pulmonary Acute Respiratory Distress Syndrome: A Multicenter Retrospective Observational Cohort Study

Critical Care Explorations, 2021
OBJECTIVES:. The aim was to evaluate the effect of dihydropyridine calcium channel blocker on the prognosis for moderate-severe pulmonary acute respiratory distress syndrome in hypertension patients. DESIGN:.
Fengyuan Li, MD, Chang Gao, MD, Jiahao Chen, MD, Ling Yang, MD, Shiqi Guo, MD, Dongmei Jin, MD, Xiaoting Lu, MD, Yin Sheng, MD, Xiaoxia Ji, MD, Qiang Guo, MD   +9 more
doaj   +1 more source

TACE-HAIC combined with targeted therapy and immunotherapy versus TACE alone for hepatocellular carcinoma with portal vein tumour thrombus: a propensity score matching study

International Journal of Surgery, 2023
Background: The long-term survival of patients with hepatocellular carcinoma (HCC) with portal vein tumour thrombus (PVTT) is poor. Systemic therapy, transcatheter arterial chemoembolization (TACE), and hepatic artery infusion chemotherapy are widely ...
Yichuan Yuan, Wei He, Zhiwen Yang, Jiliang Qiu, Zhenkun Huang, Yunxing Shi, Zhu Lin, Yun Zheng, Minshan Chen, W. Lau, Binkui Li, Yun-fei Yuan   +11 more
semanticscholar   +1 more source

Real-world efficacy and safety of TACE plus camrelizumab and apatinib in patients with HCC (CHANCE2211): a propensity score matching study

European Radiology, 2023
Objectives This study aimed to investigate the efficacy and safety of transarterial chemoembolization (TACE) plus camrelizumab, a monoclonal antibody targeting programmed death-1, and apatinib for patients with intermediate and advanced hepatocellular ...
Zhi-Cheng Jin, B. Zhong, Jian-Jian Chen, Hai-Dong Zhu, Jun-hui Sun, G. Yin, N. Ge, Biao Luo, Wen-Bin Ding, Wen-Hui Li, Li Chen, Yu-Qing Wang, Xiao-Li Zhu, Weizhu Yang, Hai-liang Li, G. Teng   +15 more
semanticscholar   +1 more source

Short versus long course of colistin treatment for carbapenem-resistant A. baumannii in critically ill patients: A propensity score matching study.

Journal of Infection and Public Health, 2023
BACKGROUND Carbapenem-resistant Acinetobacter baumannii (CRAB) is one of the most commonly found nosocomial infections in critically ill patients.
Wasan Katip, Ajaree Rayanakorn, Peninnah Oberdorfer, Puntapong Taruangsri, Teerapong Nampuan   +4 more
semanticscholar   +1 more source

Optimal caliper width for propensity score matching of three treatment groups: a Monte Carlo study. [PDF]

PLoS ONE, 2013
Propensity score matching is a method to reduce bias in non-randomized and observational studies. Propensity score matching is mainly applied to two treatment groups rather than multiple treatment groups, because some key issues affecting its application
Yongji Wang, Hongwei Cai, Chanjuan Li, Zhiwei Jiang, Ling Wang, Jiugang Song, Jielai Xia   +6 more
doaj   +1 more source