The R Package geepack for Generalized Estimating Equations [PDF]
Journal of Statistical Software, 2005 This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data.
Søren Højsgaard +2 more
doaj +4 more sources
Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations [PDF]
Frontiers in Public Health, 2022 BackgroundMeteorological factors have been proven to affect pathogens; both the transmission routes and other intermediate. Many studies have worked on assessing how those meteorological factors would influence the transmissibility of COVID-19.
Shengnan Lin +17 more
doaj +2 more sources
Generalized bootstrap for estimating equations
The Annals of Statistics, 2005 Published at http://dx.doi.org/10.1214/009053604000000904 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Chatterjee, Snigdhansu, Bose, Arup
openaire +5 more sources
TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS. [PDF]
Stat Sin, 2019 40 pages, 4 figures, 2 ...
Zhang X +5 more
europepmc +8 more sources
GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares [PDF]
Journal of Statistical Software, 2008 The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature.
Sarah J. Ratcliffe, Justine Shults
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Gee-logit model corrected biplots with harvest effects on coffee beans grading
Bioscience Journal, 2021 In a granulometric analysis of coffee beans with different categories of defects, the data can be organized in contingency tables, and when considering the discrimination by harvest, they may have a structure that suggest a more complex model, by means ...
Haiany Aparecida Ferreira +3 more
doaj +3 more sources
Viruses, 2022 This study investigated the kinetics in HBsAg and the HBsAg loss rate after entecavir or tenofovir disoproxil fumarate (TDF) cessation in patients with chronic hepatitis B (CHB) who achieved virological suppression after virological relapse without ...
Tzu-Ning Tseng +6 more
doaj +1 more source
Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
Revstat Statistical Journal, 2021 In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
doaj +1 more source
Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
PeerJ, 2014 Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
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An epidemiological study of the predictors of multidrug resistance and methicillin resistance among Staphylococcus spp. isolated from canine specimens submitted to a diagnostic laboratory in Tennessee, USA [PDF]
PeerJ, 2023 Background Understanding drivers of multidrug resistance (MDR) and methicillin resistance, which have increased among canine staphylococcal isolates, is essential for guiding antimicrobial use practices.
Jennifer Lord +5 more
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