Results 151 to 160 of about 319,661 (327)
PolyGEE: a generalized estimating equation approach to the efficient and robust estimation of polygenic effects in large-scale association studies [PDF]
Julian Hecker +3 more
openalex +1 more source
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 +109 more
wiley +1 more source
Optimizing the Analysis of Adherence Interventions Using Logistic Generalized Estimating Equations
David Huh +2 more
openalex +2 more sources
Objective The objective of this study was to describe the longitudinal disease course and pulmonary outcomes of North American patients with melanoma differentiation‐associated gene 5 antibody (MDA5 ab) associated dermatomyositis (DM). Methods Thirty patients with MDA5 ab DM were identified in a single center longitudinal cohort of 352 patients with ...
Jenice X Cheah +8 more
wiley +1 more source
Effectiveness of drug safety measures for reducing the incidence of adverse drug reactions: Post-hoc analysis of data from all-case surveillance of iguratimod using generalized estimating equations. [PDF]
Shibata K +3 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Approximate Damped Oscillatory Solutions for Generalized KdV‐Burgers Equation and Their Error Estimates [PDF]
Weiguo Zhang, Xiang Li
openalex +1 more source
Adjusted predictions for generalized estimating equations
ABSTRACT Generalized estimating equations (GEEs) are a popular statistical method for longitudinal data analysis, requiring specification of the first 2 marginal moments of the response along with a working correlation matrix to capture temporal correlations within a cluster.
Francis K C Hui +2 more
openaire +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

