Search Results - subject:"Fully conditional specification"

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Multiple imputation of ordinal missing not at random data

Hammon, Angelina - In: AStA Advances in Statistical Analysis 107 (2022) 4, pp. 671-692

We introduce a selection model-based imputation approach to be used within the Fully Conditional Specification (FCS …

Persistent link: https://www.econbiz.de/10015173563

Multiple imputation of binary multilevel missing not at random data

Hammon, Angelina; Zinn, Sabine - In: Journal of the Royal Statistical Society: Series C … 69 (2020) 3, pp. 547-564

Summary We introduce a selection model-based multilevel imputation approach to be used within the fully conditional … specification framework for multiple imputation. Concretely, we apply a censored bivariate probit model to describe binary variables …

Persistent link: https://www.econbiz.de/10012245081

Multiple imputation of missing values in the wave 2007 of the IAB Establishment Panel

Drechsler, Jörg - 2010

The basic concept of multiple imputation is straightforward and easy to understand, but the application to real data imposes many implementation problems. To define useful imputation models for a dataset that consists of categorical and of continuous variables with distributions that are...

Persistent link: https://www.econbiz.de/10010271200

Multiple imputation in practice—a case study using a complex German establishment survey

Drechsler, Jörg - In: AStA Advances in Statistical Analysis 95 (2011) 1, pp. 1-26

Persistent link: https://www.econbiz.de/10008925210