Results 81 to 90 of about 298,952 (329)
Objective This study analyzed longitudinal trajectories of soluble Flt1 (sFlt1) levels, placenta growth factor (PlGF) levels, and sFlt1:PlGF ratios in a cohort of pregnant patients with systemic lupus erythematosus (SLE). Methods Blood samples were collected (14–18, 24–26, 30–32, 34–36, and 38–40 weeks), stored at −80°C, and evaluated for serum levels ...
Nilson R. de Jesús+7 more
wiley +1 more source
Objective This study aimed to identify themes contributing to resilience in childhood‐onset systemic lupus erythematosus (cSLE), distinguish between profiles of resilience, and examine how they relate to underlying themes and patient characteristics. Methods We conducted a mixed‐methods study of 21 patients with cSLE aged 11 to 19 years at a Canadian ...
Isabella Zaffino+12 more
wiley +1 more source
%QLS SAS Macro: A SAS Macro for Analysis of Correlated Data Using Quasi-Least Squares
Quasi-least squares (QLS) is an alternative computational approach for estimation of the correlation parameter in the framework of generalized estimating equations (GEE). QLS overcomes some limitations of GEE that were discussed in Crowder (1995).
Han-Joo Kim, Justine Shults
doaj
A numerical method of nonlinear estimation based on difference equations
The article considers a new numerical method for estimating the parameters of nonlinear mathematical models based on difference equations describing the results of observations.
Vladimir E Zoteev
doaj +1 more source
Objective Gastrointestinal perforation (GIP) is a rare and life‐threatening safety concern associated with JAK inhibitors (JAKi). We aimed to review the evidence regarding the risk of GIP associated with the use of JAKi in patients with rheumatoid arthritis (RA) using a systematic review and network meta‐analysis approach.
Thipsukhon Sathapanasiri+7 more
wiley +1 more source
We investigate a semiparametric generalized partially linear regression model that accommodates missing outcomes, with some covariates modeled parametrically and others nonparametrically. We propose a class of augmented inverse probability weighted (AIPW)
Lu Wang, Zhongzhe Ouyang, Xihong Lin
doaj +1 more source
On the Returns to Occupational Qualification in Terms of Subjective and Objective Variables: A GEE-type Approach to the Estimation of Two-Equation Panel Models [PDF]
This article proposes an estimation approach for panel models with mixed continuous and ordered categorical outcomes based on generalized estimating equations for the mean and pseudo-score equations for the covariance parameters.
Martin Spieß
core
On the Returns to Occupational Qualification in Terms of Subjective and Objective Variables: A GEE-type Approach to the Estimation of Two-Equation Panel Models [PDF]
This article proposes an estimation approach for panel models with mixed continuous and ordered categorical outcomes based on generalized estimating equations for the mean and pseudo-score equations for the covariance parameters.
Spiess, Martin
core
Objective Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims‐based algorithms for glucocorticoid use compared to self‐report in an RA population.
Beth I. Wallace+16 more
wiley +1 more source
Generalized Estimating Equations Boosting (GEEB) machine for correlated data
Rapid development in data science enables machine learning and artificial intelligence to be the most popular research tools across various disciplines. While numerous articles have shown decent predictive ability, little research has examined the impact
Yuan-Wey Wang+3 more
doaj +1 more source