Results 41 to 50 of about 3,722,033 (368)

Subgroup balancing propensity score [PDF]

Statistical Methods in Medical Research, 2019
This paper concerns estimation of subgroup treatment effects with observational data. Existing propensity score methods are mostly developed for estimating overall treatment effect. Although the true propensity scores balance covariates in any subpopulations, the estimated propensity scores may result in severe imbalance in subgroup samples.
Jing Dong, Junni L Zhang, Shuxi Zeng, Fan Li   +3 more
openaire   +2 more sources

Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: a nationwide cohort study with propensity score matching

Gut, 2020
Objective The adverse effects of proton pump inhibitors (PPIs) have been documented for pneumonia; however, there is no consensus regarding whether the use of PPIs might be harmful regarding the risk of severe acute respiratory syndrome coronavirus 2 ...
Seung Won Lee, E. K. Ha, A. Yeniova, S. Moon, So Young Kim, Hyun Yong Koh, Jee Myung Yang, S. Jeong, Sun Joon Moon, J. Cho, I. Yoo, D. Yon   +11 more
semanticscholar   +1 more source

Propensity scores in the presence of effect modification: A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis

Emerging Themes in Epidemiology, 2010
Purpose To control for confounding bias from non-random treatment assignment in observational data, both traditional multivariable models and more recently propensity score approaches have been applied.
Hunink MG Myriam, Wong John B, Liem Ylian S, de Charro Frank, Winkelmayer Wolfgang C   +4 more
doaj   +1 more source

Perbandingan Propensity Score Stratification dan Propensity Score Matching dengan Pendekatan Multivariate Adaptive Regression Spline

Jambura Journal of Mathematics
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, Setia Ningsih, Hendra Dukalang   +2 more
doaj   +1 more source

An evaluation of the US African Growth and Opportunity Act (AGOA) trade arrangement with Sub-Saharan African countries [PDF]

PSL Quarterly Review, 2018
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. Using several variants of propensity score matching techniques, results show that the
Busani Moyo, Mamello Nchake, Blessing Chiripanhura   +2 more
doaj   +1 more source

Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches

Multivariate Behavioral Research, 2021
Propensity score methods are a widely recommended approach to adjust for confounding and to recover treatment effects with non-experimental, single-level data.
Alvaro Fuentes, O. Lüdtke, A. Robitzsch
semanticscholar   +1 more source

Propensity score weighting under limited overlap and model misspecification [PDF]

Statistical Methods in Medical Research, 2020
Propensity score weighting methods are often used in non-randomized studies to adjust for confounding and assess treatment effects. The most popular among them, the inverse probability weighting, assigns weights that are proportional to the inverse of ...
Yunji Zhou, Roland A. Matsouaka, L. Thomas   +2 more
semanticscholar   +1 more source

The effects of smoking on metabolic syndrome and its components using causal methods in the Iranian Population

International Journal of Preventive Medicine, 2021
Background: The aim of this study was to estimate the effect of smoking on metabolic syndrome (MS) and its components applying inverse probability-of-treatment weighting (IPTW) and propensity score (PS) matching. Methods: Using data from Tehran Lipid and
Farzad Khodamoradi, Maryam Nazemipour, Nasrin Mansournia, Kamran Yazdani, Davood Khalili, Mohammad Ali Mansournia   +5 more
doaj   +1 more source

Propensity score analysis methods with balancing constraints: A Monte Carlo study

Statistical Methods in Medical Research, 2021
The inverse probability weighting is an important propensity score weighting method to estimate the average treatment effect. Recent literature shows that it can be easily combined with covariate balancing constraints to reduce the detrimental effects of
Yan Li, Liang Li
semanticscholar   +1 more source

Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis

BMC Public Health, 2019
Background Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the
Wei Xian, Xueying Xu, Junling Li, Jinbin Sun, Hezi Fu, Shaoning Wu, Hongbo Liu   +6 more
doaj   +1 more source