Results 21 to 30 of about 92,422 (264)
ISOTONIC PROPENSITY SCORE MATCHING
We propose a one-to-many matching estimator of the average treatment effect based on propensity scores estimated by isotonic regression. This approach is predicated on the assumption of monotonicity in the propensity score function, a condition that can be justified in many economic applications.
Xu, Mengshan, Otsu, Taisuke
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Triple-Endobutton and clavicular hook: A propensity score matching analysis
We retrospectively analyzed the clinical data of 635 patients with acute acromioclavicular dislocation, who underwent surgery in our hospital between May 2014 and June 2020.
Zhang Sujie +4 more
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This paper evaluates the impact of the US African Growth and Opportunity Act (AGOA) trade arrangement on the growth of exports from Sub-Saharan African (SSA) countries.
Busani Moyo +2 more
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Aim This study aimed to clarify the clinical effects of the indocyanine green (ICG)‐fluorescence imaging (FI) technique for determination of liver transection lines during laparoscopic partial liver resection for liver tumors.
Shinji Itoh +9 more
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Matching on Generalized Propensity Scores with Continuous Exposures
In the context of a binary treatment, matching is a well-established approach in causal inference. However, in the context of a continuous treatment or exposure, matching is still underdeveloped. We propose an innovative matching approach to estimate an average causal exposure-response function under the setting of continuous exposures that relies on ...
Xiao Wu +4 more
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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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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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Aim: A comparison of conventional pairwise propensity score matching (PSM) and generalized PSM method was applied to the comparative effectiveness of multiple treatment options for lung cancer. Materials & methods: Deidentified data were analyzed.
Zhanglin L, Cui +3 more
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Propensity Score Matching in Randomized Clinical Trials [PDF]
Summary Cluster randomization trials with relatively few clusters have been widely used in recent years for evaluation of health‐care strategies. On average, randomized treatment assignment achieves balance in both known and unknown confounding factors between treatment groups, however, in practice investigators can only introduce a small amount of ...
Xu, Zhenzhen, Kalbfleisch, John D.
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Research on complications of Diabetes Mellitus (DM) is multifactorial, where the risk factors causing DM complications are interrelated, leading to confounding bias, which results in inaccurate research findings. Confounding bias can be reduced using the
Ingka Rizkyani Akolo +2 more
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