Results 41 to 50 of about 2,231,738 (318)
Optimal balancing of time-dependent confounders for marginal structural models
Journal of Causal Inference, 2021 Marginal structural models (MSMs) can be used to estimate the causal effect of a potentially time-varying treatment in the presence of time-dependent confounding via weighted regression.
Kallus Nathan, Santacatterina Michele
doaj +1 more source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background Smoker's paradox has been observed with several vascular disorders, yet there are limited data in patients with acute heart failure (HF). We examined the effects of smoking in patients with acute HF using data from a large multicenter registry.
Suhail A. Doi +19 more
doaj +1 more source
Optimal weighting for estimating generalized average treatment effects
Journal of Causal Inference, 2022 In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
doaj +1 more source
Covariate balance in matched and unmatched data.
, 2023 Covariate balance in matched and unmatched data.
Luke N. Allen (8565882) +1 more
core +1 more source
Covariate Balancing through Naturally Occurring Strata [PDF]
Health Services Research, 2016 ObjectiveTo provide an alternative to propensity scoring (PS) for the common situation where there are interacting covariates.SettingWe used 1.3 million assessments of residents of the United States Veterans Affairs nursing homes, collected from January 1, 2000, through October 9, 2012.DesignIn stratified covariate balancing (SCB), data are divided ...
Farrokh, Alemi +2 more
openaire +2 more sources
Genetic matching for time-dependent treatments: a longitudinal extension and simulation study
BMC Medical Research Methodology, 2023 Background Longitudinal matching can mitigate confounding in observational, real-world studies of time-dependent treatments. To date, these methods have required iterative, manual re-specifications to achieve covariate balance.
Deirdre Weymann +2 more
doaj +1 more source
New multivariate tests for assessing covariate balance in matched observational studies [PDF]
Biometrics, 2016 We propose new tests for assessing whether covariates in a treatment group and matched control group are balanced in observational studies. The tests exhibit high power under a wide range of multivariate alternatives, some of which existing tests have ...
Hao Chen, Dylan S. Small
semanticscholar +1 more source
Statistical Papers, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baldi Antognini, A +3 more
openaire +2 more sources
Chasing Balance and Other Recommendations for Improving Nonparametric Propensity Score Models
Journal of Causal Inference, 2017 In this article, we carefully examine two important implementation issues when estimating propensity scores using generalized boosted models (GBM), a promising machine learning technique.
Griffin Beth Ann +4 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. To address this problem, researchers have proposed to estimate propensity score by directly optimizing ...
Jianqing Fan +5 more
openaire +2 more sources