Abstract: Within observational Data Science workloads, Berkson's paradox can lead to false causal inferences. One of the prominent quasi-experimental methods to mitigate this selection bias is ...

ABSTRACT: Background: Propensity score methods have become a cornerstone of modern causal inference, enabling researchers to approximate the conditions of randomized experiments in observational ...

1 Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China. 2 School of International Education, Southern Medical University, Guangzhou, China. 3 Guangdong ...

Background: Surgery is still the treatment of choice for patients with moderate to severe scoliosis, and vertebral column resection can significantly correct scoliosis. However, scoliosis correction ...

This study aimed to compare the clinical outcomes of Aquablation and Holmium Laser Enucleation of the Prostate (HoLEP) for the treatment of benign prostatic hyperplasia (BPH), with emphasis on ...

Add a description, image, and links to the propensity-score-matching topic page so that developers can more easily learn about it.

Objective We hypothesized that stents in stent-assisted coil embolization during endovascular treatment (EVT) may reduce the risk of symptomatic vasospasm following aneurysmal subarachnoid hemorrhage ...

Benign prostatic hyperplasia (BPH) is a highly prevalent condition that impacts nearly 80% of men over the age of 70, leading to lower urinary tract symptoms (LUTS) and significantly affecting their ...

Introduction: Machine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation ...