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Econometrics / Actuarial science / Categorical data / Multinomial logit / Generalized linear model / Odds ratio / Logit / Random effects model / Logistic regression / Statistics / Regression analysis / Statistical models


Understanding Variability in Multilevel Models for Categorical Responses Outline  Two-level logistic random-intercept model (1: students, 2: schools)  Measures of residual variability and dependence
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Document Date: 2012-04-18 21:13:56

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City

College Station / Reading / Vancouver / /

Company

Pearson / Kendall / Stata Press / /

Country

United States / /

Currency

pence / /

Facility

University of London / University of California / Institute of Education / /

Organization

Royal Statistical Society / University of California / Berkeley / VPC Command / Institute of Education / International Criminal Court / University of London / /

Person

Maximum / Sophia Rabe-Hesketh / Anders Skrondal / /

Position

random-intercept model for unit / Statistician / otherwise Model for latent / Teacher / logistic random-intercept model / PISA General / same teacher / /

ProgrammingLanguage

ML / /

ProvinceOrState

Tennessee / California / /

PublishedMedium

The Stata Journal / The American Statistician / Journal of the Royal Statistical Society / Journal of Econometrics / /

Technology

simulation / /

URL

http /

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