Generalized estimating equation modeling on correlated microbiome sequencing data with longitudinal measures. [PDF]
PLoS Computational Biology, 2020 Existing models for assessing microbiome sequencing such as operational taxonomic units (OTUs) can only test predictors' effects on OTUs. There is limited work on how to estimate the correlations between multiple OTUs and incorporate such relationship ...
Bo Chen, Wei Xu
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Barriers for health care access affects maternal continuum of care utilization in Ethiopia; spatial analysis and generalized estimating equation. [PDF]
PLoS One, 2022 Background Although Ethiopia had made a significant change in maternal morbidity and mortality over the past decades, it remains a major public health concern. World Health Organization designed maternal continuum of care to reduce maternal morbidity and
Alamneh TS +8 more
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Discharge teaching, patient-reported discharge readiness and postsurgical outcomes in gynecologic patients undergoing day surgery: a generalized estimating equation. [PDF]
BMC Surg, 2022 Background Gynecologic patients undergoing day surgery are discharged in an intermediate stage of recovery. The quality of discharge teaching and discharge readiness are important to patients’ postsurgical outcomes, but little research has focused on ...
You H, Lei A, Li X, Liao X, Chang J.
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Simultaneous inference for multiple marginal generalized estimating equation models. [PDF]
Stat Methods Med Res, 2020 Motivated by small-sample studies in ophthalmology and dermatology, we study the problem of simultaneous inference for multiple endpoints in the presence of repeated observations. We propose a framework in which a generalized estimating equation model is
Ristl R, Hothorn L, Ritz C, Posch M.
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Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model. [PDF]
Int J Environ Res Public Health, 2020 This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models
Xu T, Zhu G, Han S.
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Generalized bootstrap for estimating equations [PDF]
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)
Snigdhansu Chatterjee, Arup Bose
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Validity of the scoring system for traumatic liver injury: a generalized estimating equation analysis [PDF]
Journal of Trauma and Injury, 2022 Purpose The scoring system for traumatic liver injury (SSTLI) was developed in 2015 to predict mortality in patients with polytraumatic liver injury.
Kangho Lee +6 more
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Efficiency of Generalized Estimating Equations for Binary Responses [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2004 SummaryUsing standard correlation bounds, we show that in generalized estimation equations (GEEs) the so-called ‘working correlation matrix’R(α) for analysing binary data cannot in general be the true correlation matrix of the data. Methods for estimating the correlation param-eter in current GEE software for binary responses disregard these bounds. To
N. Rao Chaganty, Harry Joe
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Group penalized generalized estimating equation for correlated event-related potentials and biomarker selection [PDF]
BMC Medical Research Methodology, 2020 Background Event-related potentials (ERP) data are widely used in brain studies that measure brain responses to specific stimuli using electroencephalogram (EEG) with multiple electrodes.
Ye Lin +8 more
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Grouped Generalized Estimating Equations for Longitudinal Data Analysis [PDF]
Biometrics, 2022 Abstract Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects. Although the standard GEE assumes common regression coefficients among all the subjects, such an assumption may not be realistic when there is potential ...
Tsubasa Ito, Shonosuke Sugasawa
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