Results 31 to 40 of about 540,575 (323)
An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
IEEE Access, 2021 Gait is a unique non-invasive biometric form that can be utilized to effectively recognize persons, even when they prove to be uncooperative. Computer-aided gait recognition systems usually use image sequences without considering covariates like clothing
Maryam Bukhari +7 more
doaj +1 more source
Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation [PDF]
, 2014 We consider mark–recapture–recovery data with additional individual time-varying continuous covariate data. For such data it is common to specify the model parameters, and in particular the survival probabilities, as a function of these covariates to ...
Buckland, Stephen Terrence +2 more
core +2 more sources
BMC Medical Research Methodology, 2021 Background Cardinality matching (CM), a novel matching technique, finds the largest matched sample meeting prespecified balance criteria thereby overcoming limitations of propensity score matching (PSM) associated with limited covariate overlap, which ...
Stephen P. Fortin +2 more
doaj +1 more source
On tests of treatment-covariate interactions: An illustration of appropriate power and sample size calculations. [PDF]
PLoS ONE, 2017 The appraisals of treatment-covariate interaction have theoretical and substantial implications in all scientific fields. Methodologically, the detection of interaction between categorical treatment levels and continuous covariate variables is analogous ...
Gwowen Shieh
doaj +1 more source
To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
Journal of Causal Inference, 2015 “M-Bias,” as it is called in the epidemiologic literature, is the bias introduced by conditioning on a pretreatment covariate due to a particular “M-Structure” between two latent factors, an observed treatment, an outcome, and a “collider.” This ...
Ding Peng, Miratrix Luke W.
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
Unsupervised empirical Bayesian multiple testing with external covariates
, 2008 In an empirical Bayesian setting, we provide a new multiple testing method, useful when an additional covariate is available, that influences the probability of each null hypothesis being true.
Ferkingstad, Egil +4 more
core +2 more sources
The covariant chiral ring [PDF]
Journal of High Energy Physics, 2016 19 ...
Bourget, Antoine, Troost, Jan
openaire +5 more sources
Nonparametric covariate-adjusted regression
, 2016 We consider nonparametric estimation of a regression curve when the data are observed with multiplicative distortion which depends on an observed confounding variable.
Delaigle, Aurore +2 more
core +1 more source