Results 101 to 110 of about 550,309 (325)
Covariant residual entropy [PDF]
Journal of High Energy Physics, 2014 35 pages, 6 figures; v2: references added, matches the published ...
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Arthritis Care &Research, EarlyView.Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder +5 more
wiley +1 more source
Covariate Shift Adaptation for Structured Regression With Frank–Wolfe Algorithms
IEEE Access, 2019 This paper concerns structured regression problems wherein the issue of covariate shift is addressed, which aims at reducing the discrepancy in training and test data distributions, using computationally efficient and sparse optimization principles.
Santosh V. Chapaneri, Deepak J. Jayaswal
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this study was to evaluate and compare the risk of hepatotoxicity associated with the use of febuxostat and benzbromarone in patients with gout. Methods New users of febuxostat or benzbromarone with monitoring of liver function at least three times in a year after initiation of the study drugs were identified from an ...
Wenyan Sun +8 more
wiley +1 more source
Energy balancing of covariate distributions
Journal of Causal InferenceBias in causal comparisons has a correspondence with distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score weighting attempt to mitigate bias by either modeling the treatment assignment ...
Huling Jared D., Mak Simon
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Bayesian Analysis of Hazard Regression Models under Order Restrictions on Covariate Effects and Ageing [PDF]
We propose Bayesian inference in hazard regression models where the baseline hazard is unknown, covariate effects are possibly age-varying (non-proportional), and there is multiplicative frailty with arbitrary distribution.
Bhattacharjee, Arnab +1 more
core +1 more source
Modeling Covariate Effects in Group Independent Component Analysis with Applications to Functional Magnetic Resonance Imaging [PDF]
, 2015 Independent component analysis (ICA) is a powerful computational tool for separating independent source signals from their linear mixtures. ICA has been widely applied in neuroimaging studies to identify and characterize underlying brain functional ...
Guo, Ying, Shi, Ran
core
, 1956 The differential equations for the vacuum expectation values of chronological products of field operators are transcribed into an operator formalism which is covariant under the Lorentz group. This is accomplished by introducing a new set of field operators with the same transformation properties as the ordinary fields to which they correspond.
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Arthritis Care &Research, EarlyView.Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir +16 more
wiley +1 more source
Nonparametric Covariate Adjustment for Receiver Operating Characteristic Curves
, 2009 The accuracy of a diagnostic test is typically characterised using the receiver operating characteristic (ROC) curve. Summarising indexes such as the area under the ROC curve (AUC) are used to compare different tests as well as to measure the difference ...
Aoki +36 more
core +1 more source