Objective Observational studies and register data provide researchers with ample opportunities to obtain answers to questions that randomized controlled trials cannot answer for organizational or ...

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

ABSTRACT: This study provides comprehensive evidence on wage differentials between native-born workers and immigrants in the United States using advanced econometric techniques and rich microdata from ...

Abstract: This study investigates the bidirectional relationship between emotional changes and physical activity, specifically focusing on the number of steps taken. Using Propensity Score Matching ...

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 ...

Patients with resected CCA undergoing curative surgery, with or without AC, were identified from three centers in Thailand. Patients with R2 resection and 30 days postoperative death were excluded.

This repository is associated with propensity score analysis utilizing machine learning algorithms to examine the impact of health insurance on duration of hospital stay in the NYC SPARCS 2015 ...

In the published article, there was an error in affiliation 3. Instead of “The Department of Urology, The Affiliated Hospital of Youjiang Medical College for ...

Propensity scores have been used to reduce bias in observational studies in many fields and are becoming more widely used in cardiovascular research. 1 The goal of this statistical primer is to ...

Propensity score is one of the most commonly used score functions in adjusting for covariates effect in statistical inference. It is important to understand the ...