Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3182
Title: Monotone missing data and pattern-mixture models
Authors: MOLENBERGHS, Geert 
MICHIELS, Bart 
Kenward, Michael G.
Diggle, Peter J.
Issue Date: 1998
Publisher: BLACKWELL PUBL LTD
Source: STATISTICA NEERLANDICA, 52(2). p. 153-161
Abstract: It is shown that the classical taxonomy of missing data models, namely missing completely at random, missing at random and informative missingness, which has been developed almost exclusively within a selection modelling framework, can also be applied to pattern-mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern-mixture MAR mechanism.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Univ Kent, Inst Math & Stat, Canterbury CT2 7NF, Kent, England. Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YF, England.
Keywords: missing at random; selection model;missing at random; selection model
Document URI: http://hdl.handle.net/1942/3182
DOI: 10.1111/1467-9574.00075
ISI #: 000075204600003
Rights: (C) VVS, 1998, Published by Blackwell Publishers
Type: Journal Contribution
Validations: ecoom 1999
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
Molenberghs_et_al-1998-Statistica_Neerlandica.pdf
  Restricted Access
Published version126.33 kBAdobe PDFView/Open    Request a copy
Show full item record

SCOPUSTM   
Citations

99
checked on Sep 3, 2020

WEB OF SCIENCETM
Citations

96
checked on Sep 8, 2024

Page view(s)

56
checked on Sep 7, 2022

Download(s)

42
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.