I describe a command that simultaneously solves the extended estimating equations estimator for parameters in the link and variance functions along with those of the linear predictor in a generalized linear model. The method addresses difficulties in choosing the correct link and variance functions in these models. It decouples the scale of estimation for the mean model, determined by the link function, from the scale of interest for the scientifically relevant effects. It also estimates a flexible variance structure from the data, leading to efficient estimation
The class of generalized linear models is extended to allow for correlated observations, nonlinear m...
Description Generalized estimating equations solver for parameters in mean, scale, and correlation s...
We propose covariate adjustment methodology for a situation where one wishes to study the dependence...
I describe a command that simultaneously solves the extended estimating equations estimator for para...
SIGLEAvailable from British Library Document Supply Centre- DSC:8318.17142F(ESRC-H--00/23/0015)fiche...
With the release of Stata 7, the glm command for fitting generalized linear models underwent a subst...
Generalized linear models (GLMs) outline a wide class of regression models where the effect of the e...
Description Extended techniques for generalized linear models (GLMs), especially for binary re-spons...
Nonparametric methods for the estimation of the link function in generalized linear models are able ...
We study joint nonparametric estimators of the mean and the dispersion functions in extended double ...
This thesis is concerned with some extensions to and applications of generalised linear models and t...
Key assumptions that underlie the application of standard generalized linear models (GLMs) include t...
Real data may expose a larger (or smaller) variability than assumed in an exponential family modelin...
This preprint has not undergone peer review or any post-submission improvements or corrections. The ...
This book is about learning from data using the Generalized Additive Models for Location, Scale and ...
The class of generalized linear models is extended to allow for correlated observations, nonlinear m...
Description Generalized estimating equations solver for parameters in mean, scale, and correlation s...
We propose covariate adjustment methodology for a situation where one wishes to study the dependence...
I describe a command that simultaneously solves the extended estimating equations estimator for para...
SIGLEAvailable from British Library Document Supply Centre- DSC:8318.17142F(ESRC-H--00/23/0015)fiche...
With the release of Stata 7, the glm command for fitting generalized linear models underwent a subst...
Generalized linear models (GLMs) outline a wide class of regression models where the effect of the e...
Description Extended techniques for generalized linear models (GLMs), especially for binary re-spons...
Nonparametric methods for the estimation of the link function in generalized linear models are able ...
We study joint nonparametric estimators of the mean and the dispersion functions in extended double ...
This thesis is concerned with some extensions to and applications of generalised linear models and t...
Key assumptions that underlie the application of standard generalized linear models (GLMs) include t...
Real data may expose a larger (or smaller) variability than assumed in an exponential family modelin...
This preprint has not undergone peer review or any post-submission improvements or corrections. The ...
This book is about learning from data using the Generalized Additive Models for Location, Scale and ...
The class of generalized linear models is extended to allow for correlated observations, nonlinear m...
Description Generalized estimating equations solver for parameters in mean, scale, and correlation s...
We propose covariate adjustment methodology for a situation where one wishes to study the dependence...