Results 31 to 40 of about 1,569,981 (315)
Structural Equation Modeling is one among popular multivariate analysis, especially applied in pschology and marketing. There are two main types of Structural Equation Modeling namely covariance-based or CB-SEM and variance-based or Partial Least Square (
I Made Tirta+2 more
doaj +1 more source
Flexible Regularized Estimating Equations: Some New Perspectives [PDF]
In this note, we make some observations about the equivalences between regularized estimating equations, fixed-point problems and variational inequalities. A summary of our findings is given below: (a) A regularized estimating equation is equivalent to a fixed-point problem, specified by the proximal operator of the corresponding penalty; (b) A ...
arxiv
TheRPackagegeepackfor Generalized Estimating Equations [PDF]
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. Clustered data arise in many applications such as longitudinal data and repeated measures.
Halekoh, Ulrich+2 more
openaire +6 more sources
Semiparametric binary model for clustered survival data [PDF]
This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the
Abu Bakar, Mohd Rizam+3 more
core +1 more source
Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis [PDF]
40 pages, 4 figures, 2 ...
Dinggang Shen+5 more
openaire +6 more sources
Schauder Estimates for Equations Associated with Lévy Generators [PDF]
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 $f$.
openaire +4 more sources
The estimation of body density in men: are general equations general?
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
openaire +3 more sources
A Novel Phylogenetic Negative Binomial Regression Model for Count-Dependent Variables
Regression models are extensively used to explore the relationship between a dependent variable and its covariates. These models work well when the dependent variable is categorical and the data are supposedly independent, as is the case with generalized
Dwueng-Chwuan Jhwueng, Chi-Yu Wu
doaj +1 more source
Grouped Generalized Estimating Equations for Longitudinal Data Analysis
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
openaire +3 more sources
Semiparametric estimation with profile algorithm for longitudinal binary data [PDF]
This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components.
Daud, Isa+2 more
core +1 more source