Results 71 to 80 of about 223,465 (247)

Characteristics and Outcomes of Male Participants in a Multicenter Longitudinal Australian Study Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin   +14 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang   +10 more
wiley   +1 more source

Bayesian statistics and Monte Carlo methods

open access: yesJournal of Geodetic Science, 2018
The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is defined as a measure of the plausibility of statements or propositions. Three rules are sufficient to obtain the laws of probability.
Koch K. R.
doaj   +1 more source

Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai   +7 more
wiley   +1 more source

A Robust Interacting Multi-Model Multi-Bernoulli Mixture Filter for Maneuvering Multitarget Tracking under Glint Noise

open access: yesSensors
In practical radar systems, changes in the target aspect toward the radar will result in glint noise disturbances in the measurement data. The glint noise has heavy-tailed characteristics and cannot be perfectly modeled by the Gaussian distribution ...
Benru Yu, Hong Gu, Weimin Su
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

open access: yesArthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck   +10 more
wiley   +1 more source

A Comparing Robust Wilks’ statistics in Multivariate Multiple Linear Regression

open access: yesJournal of Kufa for Mathematics and Computer
In multivariate linear regression, the classical Wilks’ statistic is the most used method to test hypotheses, which is extremely responsive to the effect of outliers.
Thamer, Abdullah A. Ameen
doaj   +1 more source

COENOTIC DISTRIBUTION AND ECOLOGICAL PREFERENCES OF SPHAGNA IN NOTHERN TAIGA, EUROPEAN RUSSIA (PINEZHSKY STRICT NATURE RESERVE, ARKHANGELSK REGION)

open access: yesTransactions of the Karelian Research Centre of the Russian Academy of Sciences, 2017
Here we consider the coenotic distribution of 23 species of the genus Sphagnum and their relation to prime ecological factors in Pinezhsky Strict Nature Reserve (Arkhangelsk Region, north of European Russia).
Sergei Popov, Vladimir Fedosov
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Sales Comparison Approach Indicating Heterogeneity of Particular Type of Real Estate and Corresponding Valuation Accuracy

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017
The article focuses on heterogeneity of goods, namely real estate and consequently deals with market valuation accuracy. The heterogeneity of real estate property is, in particular, that every unit is unique in terms of its construction, condition ...
Martin Cupal
doaj   +1 more source

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