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Scientific method / Psychometrics / Expectation–maximization algorithm / Imputation / Latent variable / Statistics / Missing data / Data analysis


Biometrics 61, 74–85 March 2005 Multiple Imputation for Model Checking: Completed-Data Plots with Missing and Latent Data Andrew Gelman,1,∗ Iven Van Mechelen,2 Geert Verbeke,3
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Document Date: 2005-03-09 16:55:08

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City

Philadelphia / Leuven / Bern / Fully Model / /

Company

Draper / /

Continent

Africa / /

Country

Belgium / United States / /

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Facility

Square Root Scale / Columbia University / /

IndustryTerm

data augmentation algorithms / similar computational algorithms / /

Organization

Biostatistical Centre / Katholieke Universiteit Leuven / Division of Biostatistics / U.S.A. Department of Psychology / Columbia University / New York / Department of Statistics / /

Person

De Boeck / Van Mechelen / Andrew Gelman / /

Position

data analyst / model for the observed data / model for the missingness mechanism / model for the data themselves / /

Product

B-3000 Leuven / testosterone / /

ProvinceOrState

New York / Pennsylvania / /

Technology

similar computational algorithms / X-ray / simulation / data augmentation algorithms / EM algorithm / /

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