Results 81 to 90 of about 166,649 (278)
Recovering Predictor–Criterion Relations Using Covariate-Informed Factor Score Estimates
Structural equation modeling : a multidisciplinary journal, 2018 Although it is currently best practice to directly model latent factors whenever feasible, there remain many situations in which this approach is not tractable. Recent advances in covariate-informed factor score estimation can be used to provide manifest
P. Curran +4 more
semanticscholar +1 more source
Journal of Probability and Statistics, 2012 We describe a design for cancer phase I clinical trials that takes into account patients heterogeneity thought to be related to treatment susceptibility.
Mourad Tighiouart +2 more
doaj +1 more source
Matrix Completion With Covariate Information
Journal of the American Statistical Association, 2018 This article investigates the problem of matrix completion from the corrupted data, when the additional covariates are available. Despite being seldomly considered in the matrix completion literature, these covariates often provide valuable information ...
Xiaojun Mao, Songxi Chen, R. K. Wong
semanticscholar +1 more source
Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes
Annals of Clinical and Translational Neurology, EarlyView.Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang +16 more
wiley +1 more source
Covariate Adjusted ROC Curve Analysis and An Application
Sakarya Tıp Dergisi, 2015 Objective: Aim of this study is to analyze the change of the area under the adjusted ROC (AdjROC) curve in certain conditions via binormal distribution model using simulation studies and application of this algorithm to real data.
Cengiz Bal +5 more
doaj
CPT: Pharmacometrics & Systems Pharmacology, 2021 Building a covariate model is a crucial task in population pharmacokinetics and pharmacodynamics in order to understand the determinants of the interindividual variability. Identifying a good covariate model usually requires many runs. Several procedures
Géraldine Ayral +3 more
doaj +1 more source
Acta Polytechnica, 2013 According to some generalized correspondence principle the classical limit of a non-Hermitian quantum theory describing quantum degrees of freedom is expected to be the well known classical mechanics of classical degrees of freedom in the complex phase space, i.e., some phase space spanned by complex-valued space and momentum coordinates.
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Annals of Clinical and Translational Neurology, EarlyView.Abstract Objectives An increasing body of evidence indicates altered DNA methylation in Parkinson's disease, yet the reproducibility and utility of such methylation changes are largely unexplored. We aimed to further elucidate the role of dysregulated DNA methylation in Parkinson's disease and to evaluate the biomarker potential of methylation‐based ...
Ingeborg Haugesag Lie +4 more
wiley +1 more source
ROC curves of obesity indicators have a predictive value for children hypertension aged 7-17 years
Nutrición Hospitalaria, 2014 Objective: The aim of the study is to examine the distribution of integrated covariate and its association with blood pressure (BP) among children in Anhui province, China, and assess the predictive value of integrated covariate to children hypertension.
Li Tai-shun +7 more
doaj +1 more source
COVARIANT QUANTIZATION OF THE SUPERSTRING [PDF]
International Journal of Modern Physics A, 2001 After reviewing the Green-Schwarz superstring using the approach of Siegel, the superstring is covariantly quantized by constructing a BRST operator from the fermionic constraints and a bosonic pure spinor ghost variable. Physical massless vertex operators are constructed and, for the first time, N-point tree amplitudes are computed in a manifestly ...
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