Results 31 to 40 of about 298,952 (329)
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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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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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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Implementation of generalized estimating equations and mixed linear models in Python [PDF]
Yixue xinzhi zazhi, 2022 Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by ...
Kui-Zhuang JIAO +5 more
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BMC 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
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Schauder Estimates for Equations Associated with Lévy Generators [PDF]
Integral Equations and Operator Theory, 2019 We study the regularity of solutions to the integro-differential equation $Af- f=g$ associated with the infinitesimal generator $A$ of a L vy process. We show that gradient estimates for the transition density can be used to derive Schauder estimates for $f$.
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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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The estimation of body density in men: are general equations general?
Annals of Human Biology, 1985 Regression equations for estimating body density and fatness from anthropometric measurements are usually specific to the populations from which they are derived, owing to methodological and biological factors. Some equations are, however, regarded as having general validity for subjects of different ages, levels of fatness and fitness.
Anna Ferro-Luzzi, N.G. Norgan
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Grouped Generalized Estimating Equations for Longitudinal Data Analysis
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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Household food insecurity and cooking energy access in Nigeria: A panel data approach
Energy Nexus, 2023 Access to sources of cooking energy has potential impacts on food security, however, there is a paucity of information and empirical evidence on their linkages.
Adegbenga Emmanuel Adekoya +9 more
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