Variable selection in robust joint mean and covariance model for longitudinal data analysis [PDF]
, 2014 In longitudinal data analysis, a correct specification of the within-subject covariance matrix cultivates an efficient estimation for mean regression coefficients.
Fung, WK, Zheng, XY, Zhu, ZY
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Evaluating elbow osteoarthritis within the prehistoric Tiwanaku state using generalized estimating equations (GEE). [PDF]
, 2019 OBJECTIVES:Studies of osteoarthritis (OA) in human skeletal remains can come with scalar problems. If OA measurement is noted as present or absent in one joint, like the elbow, results may not identify specific articular pathology data and the sample ...
Bass W. M. +21 more
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Calculation of LTC Premiums based on direct estimates of transition probabilities [PDF]
, 2004 In this paper we model the life-history of LTC patients using a Markovian multi-state model in order to calculate premiums for a given LTC-plan. Instead of estimating the transition intensities in this model we use the approach suggested by Andersen et ...
Czado, Claudia +2 more
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Semina: Ciências Agrárias, 2016 This study aimed to evaluate the association between diarrhea and risk factors potentially related to diarrhea incidence, such as Cryptosporidium, Giardia, Eimeria and nematode infection, animal age, failure to transfer passive immunity, type of ...
Thais Ferreira Fagundes +6 more
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Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data [PDF]
Epidemiology and Health, 2019 OBJECTIVES Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran. METHODS This
Fatemeh Sarvi +4 more
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Estimation of multivariate probit models: A mixed generalized estimating/pseudo-score equations approach and some finite sample results [PDF]
, 1996 In the present paper a mixed approach is proposed for the simultaneously estimation of regression and correlation structure parameters in multivariate probit models using generalized estimating equations for the former and pseudo-score equations for the ...
Hamerle, Alfred, Spiess, M.
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A Generalized Estimating Equations Approach for Modeling Spatially Clustered Data
Austrian Journal of Statistics, 2021 Clustering in spatial data is very common phenomena in various fields such as disease mapping, ecology, environmental science and so on. Analysis of spatially clustered data should be different from conventional analysis of spatial data because of the ...
Nasrin Lipi +2 more
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BMC Medical Genomics, 2019 Backgrounds Recent large-scale genetic studies often involve clustered phenotypes such as repeated measurements. Compared to a series of univariate analyses of single phenotypes, an analysis of clustered phenotypes can be useful for substantially ...
Sungyoung Lee +5 more
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Flexible generalized varying coefficient regression models [PDF]
, 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
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On generalised estimating equations for vector regression [PDF]
Australian & New Zealand Journal of Statistics, 2017 Generalized estimating equations (GEE; Liang & Zeger 1986) for general vector regression settings are examined. When the response vectors are of mixed type (e.g. continuous-binary response pairs), the GEE approach is a semiparametric alternative to full-likelihood copula methods, and is closely related to the mean-covariance estimation equations ...
openaire +5 more sources