Results 71 to 80 of about 5,782,543 (332)
Regularization and Model Selection with Categorial Effect Modifiers [PDF]
, 2010 The case of continuous effect modifiers in varying-coefficient models has been well investigated. Categorial effect modifiers, however, have been largely neglected.
Gertheiss, Jan, Tutz, Gerhard
core +2 more sources
Arthritis Care &Research, EarlyView.Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Ordinal regression model for pea seed mass
Die Bodenkultur, 2017 The development of seeds at various positions in the pod is asynchronous. Thus, the differences of seed dry mass production because of environmental conditions may depend on the cultivar type, type of inoculants and interrelations between seeds per pod ...
Klimek-Kopyra Agnieszka +5 more
doaj +1 more source
Inducing a Target Association between Ordinal Variables by Using a Parametric Copula Family
Austrian Journal of Statistics, 2020 The need for building and generating statistically dependent random variables arises in various fields of study where simulation has proven to be a useful tool.
Alessandro Barbiero
doaj +1 more source
An Empirical Bayes Approach to Estimating Ordinal Treatment Effects [PDF]
, 2008 Ordinal variables — categorical variables with a defined order to the categories, but without equal spacing between them — are frequently used in social science applications.
Alvarez, R. Michael +2 more
core +1 more source
Unbiased split selection for classification trees based on the Gini Index [PDF]
, 2005 The Gini gain is one of the most common variable selection criteria in machine learning. We derive the exact distribution of the maximally selected Gini gain in the context of binary classification using continuous predictors by means of a combinatorial ...
Augustin, Thomas +2 more
core +5 more sources
Arthritis Care &Research, EarlyView.Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +110 more
wiley +1 more source
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
A geoadditive Bayesian latent variable model for Poisson indicators [PDF]
, 2006 We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a ...
Fahrmeir, Ludwig, Steinert, Sven
core +3 more sources
Rheumatologic Manifestations of Patients With Type B Insulin Resistance
Arthritis Care &Research, EarlyView.Objective The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life‐threatening ...
S. Amara Ogbonnaya +4 more
wiley +1 more source