Identification problem of transition models for repeated measurement data with nonignorable missing values
type: Item
instance of: scholarly article
title: Identification problem of transition models for repeated measurement data with nonignorable missing values
zbMATH Open document ID: 1404.62126
author: Kosuke Morikawa
author: Yutaka Kano
published in: Journal of Multivariate Analysis
publication date: 2018-04-12T00:00:00Z
review text: The main result of this article is a necessary and sufficient condition for the identifiability of logistic AR(2) models when analyzing data with nonignorable missing values. The applicability of the approach is demonstrated on both synthetic data and real medical data.
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 6858932
zbMATH Keywords: drop-out
zbMATH Keywords: identifiability
zbMATH Keywords: incomplete data
zbMATH Keywords: not missing at random
zbMATH Keywords: repeated measurement data
zbMATH Keywords: transition model
reviewed by: Denis Sidorov
MaRDI profile type: Publication
full work available at URL: j.jmva.2017.12.007
OpenAlex ID: W2778396468
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DOI: 10.1016/J.JMVA.2017.12.007
description: scientific article; zbMATH DE number 6858932