Results 31 to 40 of about 595,073 (274)
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
Covariance-insured screening [PDF]
Computational Statistics & Data Analysis, 2019 Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size. In order to identify more novel biomarkers and understand biological mechanisms, it is vital to detect signals weakly associated with outcomes among ultrahigh-dimensional predictors.
Kevin He +7 more
openaire +3 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
Multidimensional Rational Covariance Extension with Approximate Covariance Matching [PDF]
SIAM Journal on Control and Optimization, 2018 31 pages (single column).
Axel Ringh +2 more
openaire +3 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
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
Robust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization
, 2019 Covariate-adaptive randomization is popular in clinical trials with sequentially arrived patients for balancing treatment assignments across prognostic factors which may have influence on the response.
Shao, Jun, Ye, Ting
core +1 more source
Covariance Hypotheses Which are Linear in Both the Covariance and the Inverse Covariance
The Annals of Statistics, 1988 The author has studied the structure of statistical hypotheses for the family of normal distributions, which are linear in both the covariance and the inverse covariance. It is shown that such hypotheses are products of models each of which consist of either i.i.d. random vectors which have a covariance with a real, complex or quaternion structure or i.
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +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