AIMC Topic: Propensity Score

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Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

Epidemiology (Cambridge, Mass.)
The use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing patient's health status-related information from claims datasets as surrogates or proxies for misme...

Decreased Incidence of Postoperative Delirium in Robot-assisted Thoracoscopic Esophagectomy Compared With Open Transthoracic Esophagectomy.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: Postoperative delirium (POD) is one of messy complications related with increased mortality and hospital costs. Patients undergoing esophagectomy are more in danger of delirium than other kinds of surgeries. We investigated the impact of ...

A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators.

The international journal of biostatistics
OBJECTIVE: Consistent estimation of causal effects with inverse probability weighting estimators is known to rely on consistent estimation of propensity scores. To alleviate the bias expected from incorrect model specification for these nuisance para...

Comparison of Bilateral Axillo-Breast Approach Robotic Thyroidectomy with Open Thyroidectomy for Graves' Disease.

World journal of surgery
BACKGROUND: There is an ongoing debate about whether robotic thyroidectomy (RT) is appropriate for Graves' disease. The aim of this study was to compare the safety of bilateral axillo-breast approach (BABA) RT with that of open thyroidectomy (OT) in ...