Results 151 to 160 of about 113,075 (317)
Arthritis Care &Research, EarlyView.Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
Mixed model based inference in structured additive regression [PDF]
, 2006 Due to the increasing availability of spatial or spatio-temporal regression data, models that allow to incorporate the special structure of such data sets in an appropriate way are highly desired in practice.
Kneib, Thomas
core
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions [PDF]
This paper is concerned with parameter estimation and inference in a cointegrating regression, where as usual endogenous regressors as well as serially correlated errors are considered.
Vogelsang, Timothy J., Wagner, Martin
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Journal of Statistical Software, 2007 The tgp package for R is a tool for fully Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes with jumps to the limiting linear model.
Robert B. Gramacy
doaj
Arthritis Care &Research, EarlyView.Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Conditional quantile processes based on series or many regressors [PDF]
Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework,
Victor Chernozhukov +2 more
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Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Linear Regression: Inference Based on Cluster Estimates
This article proposes a novel estimator for regression coefficients in clustered data that explicitly accounts for within-cluster dependence. We study the asymptotic properties of the proposed estimator under both finite and infinite cluster sizes. The analysis is then extended to a standard random coefficient model, where we derive asymptotic results ...
Dey, Subhodeep +2 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source