Results 21 to 30 of about 3,722,033 (368)

Head to head comparison of the propensity score and the high-dimensional propensity score matching methods

BMC Medical Research Methodology, 2016
Background Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear.
Jason R. Guertin, Elham Rahme, Colin R. Dormuth, Jacques LeLorier   +3 more
doaj   +1 more source

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

Statistics in Medicine, 2015
The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment ...
P. Austin, E. Stuart
semanticscholar   +1 more source

Propensity score matching for causal inference and reducing the confounding effects: statistical standard and guideline of Life Cycle Committee

Life Cycle, 2022
Since the development of research methodology, there has always been keen interest in developing the accuracy of the research by comparing covariates.
S. Lee, K. P. Acharya
semanticscholar   +1 more source

Robust Causal Estimation from Observational Studies Using Penalized Spline of Propensity Score for Treatment Comparison

Stats, 2021
Without randomization of treatments, valid inference of treatment effects from observational studies requires controlling for all confounders because the treated subjects generally differ systematically from the control subjects.
Tingting Zhou, Michael R. Elliott, Roderick J. A. Little   +2 more
doaj   +1 more source

Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

Statistics in Medicine, 2009
The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates.
P. Austin
semanticscholar   +1 more source

Weight trimming and propensity score weighting.

PLoS ONE, 2011
Propensity score weighting is sensitive to model misspecification and outlying weights that can unduly influence results. The authors investigated whether trimming large weights downward can improve the performance of propensity score weighting and ...
Brian K Lee, Justin Lessler, Elizabeth A Stuart   +2 more
doaj   +1 more source

Optimal Covariate Balancing Conditions in Propensity Score Estimation [PDF]

Journal of business & economic statistics, 2021
Inverse probability of treatment weighting (IPTW) is a popular method for estimating the average treatment effect (ATE). However, empirical studies show that the IPTW estimators can be sensitive to the misspecification of the propensity score model.
Jianqing Fan, K. Imai, Inbeom Lee, Han Liu, Y. Ning, Xiaolin Yang   +5 more
semanticscholar   +1 more source

Effect of Dihydropyridine Calcium Channel Blocker on Mortality of Hypertension Patients With Moderate-Severe Pulmonary Acute Respiratory Distress Syndrome: A Multicenter Retrospective Observational Cohort Study

Critical Care Explorations, 2021
OBJECTIVES:. The aim was to evaluate the effect of dihydropyridine calcium channel blocker on the prognosis for moderate-severe pulmonary acute respiratory distress syndrome in hypertension patients. DESIGN:.
Fengyuan Li, MD, Chang Gao, MD, Jiahao Chen, MD, Ling Yang, MD, Shiqi Guo, MD, Dongmei Jin, MD, Xiaoting Lu, MD, Yin Sheng, MD, Xiaoxia Ji, MD, Qiang Guo, MD   +9 more
doaj   +1 more source

Theory and practice of propensity score analysis

Annals of Clinical Epidemiology, 2022
Propensity score analysis has been widely used in observational studies to make a causal inference. This study introduces three assumptions for causal inferences—conditional exchangeability, positivity, and consistency—and five steps for propensity score
Yohei Hashimoto, H. Yasunaga
semanticscholar   +1 more source

Optimal caliper width for propensity score matching of three treatment groups: a Monte Carlo study. [PDF]

PLoS ONE, 2013
Propensity score matching is a method to reduce bias in non-randomized and observational studies. Propensity score matching is mainly applied to two treatment groups rather than multiple treatment groups, because some key issues affecting its application
Yongji Wang, Hongwei Cai, Chanjuan Li, Zhiwei Jiang, Ling Wang, Jiugang Song, Jielai Xia   +6 more
doaj   +1 more source