Results 111 to 120 of about 9,854,297 (301)
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi +10 more
wiley +1 more source
Soils are critical natural resources, yet their abiotic contributions to ecosystem services remain largely unexplored in valuation studies. This pilot study represents, to the best of our knowledge, the first attempt to assess the perceived value of ...
Barbara Cavalletti +3 more
doaj +1 more source
Integrating latent variables in discrete choice models – How higher-order values and attitudes determine consumer choice [PDF]
Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables.
Marcel Paulssen +2 more
core
Victimization Profiles, Non-Suicidal Self-Injury, Suicide Attempt, and Post-Traumatic Stress Disorder Symptomology: Application of Latent Class Analysis. [PDF]
Few studies have incorporated multiple dimensions of victimization or examined whether victimization profiles differ by gender. Consequently, the present study sought to extend prior research by using latent class analysis (LCA) to identify naturally ...
Dhingra, Katie +6 more
core +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Rating scale analysis with latent class models
latent class analysis, rating models, EM-algorithm, ordered categories,
Jürgen Rost
core +1 more source
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
Heterogeneity in solidarity attitudes in Europe. Insights from a multiple-group latent-class factor approach [PDF]
Comparing solidarity attitudes of European citizen is highly relevant in the context of European integration and unification. Such comparisons, however, are only valid if responses to attitude questions reflect true differences in solidarity and, hence ...
Kankarash, Milosh, Moors, Guy
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
Latent Class Models of Early-life Trauma and Incident Breast Cancer. [PDF]
Woo JMP +9 more
europepmc +1 more source

