Results 31 to 40 of about 318,594 (329)

Bootstrap Confidence Intervals For Local Likelihood, Local Estimating Equations And Varying Coefficient Models [PDF]

open access: yes, 2000
Four powerful generalizations of the usual local polynomial nonparametric regression methodology are (a) local polynomial methods in generalized linear models; (b) varying coefficient generalized linear models, where the possibly multivariate ...
Carroll, R. J.   +3 more
core   +3 more sources

Generalized fractional differential equations for past dynamic

open access: yesAIMS Mathematics, 2022
Well-posedness of the terminal value problem for nonlinear systems of generalized fractional differential equations is studied. The generalized fractional operator is formulated with a classical operator and a related weighted space.
Dumitru Baleanu, Babak Shiri
doaj   +1 more source

Flexible generalized varying coefficient regression models [PDF]

open access: yes, 2012
This paper studies a very flexible model that can be used widely to analyze the relation between a response and multiple covariates. The model is nonparametric, yet renders easy interpretation for the effects of the covariates.
Lee, Young K.   +2 more
core   +1 more source

Analysis of Comparative Data Using Generalized Estimating Equations [PDF]

open access: yesJournal of Theoretical Biology, 2002
It is widely acknowledged that the analysis of comparative data from related species should be performed taking into account their phylogenetic relationships. We introduce a new method, based on the use of generalized estimating equations (GEE), for the analysis of comparative data.
Claude, Julien, Paradis, Emmanuel
openaire   +3 more sources

Full title: prevalence and risk factors of overweight in Beijing infants basing generalized estimating equation: a longitudinal study

open access: yesBMC Public Health
Background The prevalence of childhood overweight and obesity in China has been rapidly increasing in recent years. The purposes of this study were to investigate the prevalence of infant overweight in Beijing and to explore the influencing factors using
Fang Ye   +6 more
doaj   +1 more source

Analysing cluster randomised controlled trials using GLMM, GEE1, GEE2, and QIF: results from four case studies

open access: yesBMC Medical Research Methodology, 2023
Background Using four case studies, we aim to provide practical guidance and recommendations for the analysis of cluster randomised controlled trials. Methods Four modelling approaches (Generalized Linear Mixed Models with parameters estimated by maximum
Bright C. Offorha   +2 more
doaj   +1 more source

Semiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations

open access: yes, 2012
The semiparametric accelerated failure time model is not as widely used as the Cox relative risk model mainly due to computational difficulties. Recent developments in least squares estimation and induced smoothing estimating equations provide promising ...
A Komárek   +40 more
core   +1 more source

Local polynomial estimation of nonparametric general estimating equations

open access: yesStatistics & Probability Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou   +10 more
wiley   +1 more source

Asymptotic results with generalized estimating equations for longitudinal data

open access: yes, 2005
We consider the marginal models of Liang and Zeger [Biometrika 73 (1986) 13-22] for the analysis of longitudinal data and we develop a theory of statistical inference for such models. We prove the existence, weak consistency and asymptotic normality of a
Balan, R. M., Schiopu-Kratina, I.
core   +2 more sources

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