Results 31 to 40 of about 550,309 (325)
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
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
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
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
From patterned response dependency to structured covariate dependency: categorical-pattern-matching [PDF]
, 2017 Data generated from a system of interest typically consists of measurements from an ensemble of subjects across multiple response and covariate features, and is naturally represented by one response-matrix against one covariate-matrix.
Fushing, Hsieh +3 more
core +4 more sources
Covariate order tests for covariate effect.
Lifetime data analysis, 2002 A new approach for constructing tests for association between a random right censored life time variable and a covariate is proposed. The basic idea is to first arrange the observations in increasing order of the covariate and then base the test on a certain point process defined by the observation times.
openaire +4 more sources
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
Rerandomization to improve covariate balance in experiments
, 2012 Randomized experiments are the "gold standard" for estimating causal effects, yet often in practice, chance imbalances exist in covariate distributions between treatment groups.
Morgan, Kari Lock, Rubin, Donald B.
core +1 more source
Femtosecond covariance spectroscopy [PDF]
Proceedings of the National Academy of Sciences, 2019 Significance Here we establish femtosecond covariance spectroscopy as a technique that uses ultrashort stochastic light pulses to measure nonlinear material responses. By using pulses with spectrally uncorrelated fluctuations we can leverage on the noise and consider each repetition of the experiment as a measurement under different ...
Angela Montanaro +19 more
openaire +6 more sources
Mixture regression for observational data, with application to functional regression models [PDF]
, 2013 In a regression analysis, suppose we suspect that there are several heterogeneous groups in the population that a sample represents. Mixture regression models have been applied to address such problems.
Hoshikawa, Toshiya
core