Results 21 to 30 of about 1,615,733 (299)
Covariant balance laws in continua with microstructure [PDF]
Reports on Mathematical Physics, 2009 The purpose of this paper is to extend the Green-Naghdi-Rivlin balance of energy method to continua with microstructure. The key idea is to replace the group of Galilean transformations with the group of diffeomorphisms of the ambient space. A key advantage is that one obtains in a natural way all the needed balance laws on both the macro and micro ...
Yavari, Arash, Marsden, Jerrold E.
openaire +3 more sources
Squeezing the balloon: propensity scores and unmeasured covariate balance. [PDF]
Health Serv Res, 2013 ObjectiveTo assess the covariate balancing properties of propensity score‐based algorithms in which covariates affecting treatment choice are both measured and unmeasured.Data Sources/Study SettingA simulation model of treatment choice and outcome.Study DesignSimulation.Data Collection/Extraction MethodsEight simulation scenarios varied with the values
Brooks JM, Ohsfeldt RL.
europepmc +4 more sources
, 2022 Covariate balance: unweighted vs overlap weighted cohorts.
Adelino Leite-Moreira (3376820) +2 more
core +1 more source
Covariate balance of PSM sample.
, 2022 Covariate balance of PSM sample.
Bofu Zhang (13132780) +1 more
core +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
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
A framework for covariate balance using Bregman distances [PDF]
Scandinavian Journal of Statistics, 2020 AbstractA common goal in observational research is to estimate marginal causal effects in the presence of confounding variables. One solution to this problem is to use the covariate distribution to weight the outcomes such that the data appear randomized. The propensity score is a natural quantity that arises in this setting.
Kevin P. Josey +3 more
openaire +2 more sources
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 Distribution Balance via Propensity Scores [PDF]
SSRN Electronic Journal, 2018 SummaryThis paper proposes new estimators for the propensity score that aim to maximize the covariate distribution balance among different treatment groups. Heuristically, our proposed procedure attempts to estimate a propensity score model by making the underlying covariate distribution of different treatment groups as close to each other as possible.
Sant'Anna, Pedro H. C. +2 more
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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