Results 61 to 70 of about 166,649 (278)
Exploring treatment by covariate interactions using subgroup analysis and meta-regression in cochrane reviews: a review of recent practice. [PDF]
Treatment by covariate interactions can be explored in reviews using interaction analyses (e.g., subgroup analysis). Such analyses can provide information on how the covariate modifies the treatment effect and is an important methodological approach for ...
Sarah Donegan+4 more
doaj +1 more source
Background We carried out this study to demonstrate the effects of outcome sensitivity, participant exclusions, and covariate manipulations on results of the epidemiological analysis of coronary heart disease (CHD) and its behaviour-related risk factors ...
Ari Voutilainen+3 more
doaj +1 more source
Covariate order tests for covariate effect.
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
The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina+17 more
wiley +1 more source
Covariance in plasticity [PDF]
Covariance is imposed to the second law of thermodynamics and consequences are shown for elastic-perfectly plastic bodies. In this setting, pointwise balances of standard and configurational actions, constitutive restrictions on the first Piola–Kirchhoff stress and the Eshelby one, and the structure of the dissipation are all derived from a unique ...
openaire +4 more sources
VISUALIZATION OF COVARIANCE AND CROSS-COVARIANCE FIELDS [PDF]
We present a numerical technique to visualize covariance and cross-covariance fields of a stochastic simulation. The method is local in the sense that it demonstrates the covariance structure of the solution at a point with its neighboring locations. When coupled with an efficient stochastic simulation solver, our framework allows one to effectively ...
Dongbin Xiu, Mike Kirby, Chao Yang
openaire +2 more sources
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam+2 more
wiley +1 more source
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé+7 more
wiley +1 more source
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments
We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic ...
Hennessy Jonathan+4 more
doaj +1 more source
Nonparametric goodness‐of‐fit testing for parametric covariate models in pharmacometric analyses
The characterization of covariate effects on model parameters is a crucial step during pharmacokinetic/pharmacodynamic analyses. Although covariate selection criteria have been studied extensively, the choice of the functional relationship between ...
Niklas Hartung+3 more
doaj +1 more source