Results 11 to 20 of about 486,560 (293)

Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data

open access: yesBMC Medical Research Methodology, 2023
Background When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each site or data from all sites when ...
Chen Huang   +4 more
doaj   +1 more source

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

open access: yesBMC 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   +3 more
doaj   +1 more source

Weight trimming and propensity score weighting.

open access: yesPLoS 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   +2 more
doaj   +1 more source

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

open access: yesStats, 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   +2 more
doaj   +1 more source

Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric

open access: yesEconometrics, 2019
It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known.
Kyoo il Kim
doaj   +1 more source

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

open access: yesPLoS 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   +6 more
doaj   +1 more source

Propensity Scoring

open access: yesAAP Grand Rounds, 2015
false ; 2016-03-16T16:38 ...
M.H., Clark, Clark, M.H.
openaire   +3 more sources

Association of hypertension and incident diabetes in Chinese adults: a retrospective cohort study using propensity-score matching

open access: yesBMC Endocrine Disorders, 2021
Background Reliable quantification of the relationship between hypertension and diabetes risk is limited, especially among Chinese people. We aimed to investigate the association between hypertension and the risk of diabetes in a large cohort of the ...
Yang Wu   +6 more
doaj   +1 more source

A brief introduction to propensity score for anesthesiologists [PDF]

open access: yesKorean Journal of Anesthesiology, 2020
Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared.
Alessandro De Cassai   +4 more
doaj   +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

open access: yesCritical 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   +9 more
doaj   +1 more source

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