This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous Gaussian responses but also for binary, count, and other types of limited dependent variables.
%0 Book
%1 rabehesketh2012multilevel1
%A Rabe-Hesketh, Sophia
%A Skrondal, Anders
%B Continuous Responses
%C College Station, TX
%D 2012
%I StataCorp LP
%K stata
%T Multilevel and Longitudinal Modeling Using Stata
%V 1
%X This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous Gaussian responses but also for binary, count, and other types of limited dependent variables.
%7 3rd
@book{rabehesketh2012multilevel1,
abstract = {This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous Gaussian responses but also for binary, count, and other types of limited dependent variables.},
added-at = {2021-09-10T13:13:16.000+0200},
address = {College Station, TX},
author = {Rabe-Hesketh, Sophia and Skrondal, Anders},
biburl = {https://www.bibsonomy.org/bibtex/2533f05385a54f8742f633f1bd6faaa9c/dirtyhawk},
booktitle = {Continuous Responses},
edition = {3rd},
interhash = {ec07261fc08187d02f195c225b37e3f1},
intrahash = {533f05385a54f8742f633f1bd6faaa9c},
keywords = {stata},
language = {en},
publisher = {StataCorp LP},
timestamp = {2021-09-10T13:15:20.000+0200},
title = {Multilevel and Longitudinal Modeling Using Stata},
volume = 1,
year = 2012
}