Results 81 to 90 of about 550,309 (325)
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
Estimating and Visualizing the Time-varying Effects of a Binary Covariate on Longitudinal Big Text Data [PDF]
International Journal of Networked and Distributed Computing (IJNDC), 2017 We propose a method to estimate and visualize effects of a binary covariate on the longitudinally observed text data. Our method consists of series of analytical methods: extracting keywords through a morphological analysis, estimating the time-varying ...
Shizue Izumi +3 more
doaj +1 more source
Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova +5 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
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
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
Asymptotic theory for the Cox model with missing time-dependent covariate
, 2006 The relationship between a time-dependent covariate and survival times is usually evaluated via the Cox model. Time-dependent covariates are generally available as longitudinal data collected regularly during the course of the study.
Dupuy, Jean-François +2 more
core +2 more sources
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 ...
openaire +9 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To compare the effectiveness of high‐efficacy treatments (HET) and low‐efficacy treatments (LET) in NMOSD patients with anti‐aquaporin‐4 antibodies (AQP4‐ab). Methods In this multi‐center study, we analyzed 183 AQP4‐ab seropositive NMOSD patients who received immunosuppressive treatments (IST).
Xiang Li +10 more
wiley +1 more source
Frontiers in Psychology, 2014 The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2,000), number and quality of binary indicators (between 4 and 12
Ingrid Carlson Wurpts, Christian eGeiser
doaj +1 more source