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Handling the effect of non-response in graphical models for longitudinal data

Handling the effect of non-response in graphical models for longitudinal data
Handling the effect of non-response in graphical models for longitudinal data
In this paper we investigated the use of attrition weights to cope with non-response when selecting graphical chain models for longitudinal data. We proposed a parametric bootstrap approach to account for the extra variability introduced by the estimation of the weights and compared this with results using standard test procedures.
Graphical chains, weighting, MAR, parametric bootstrap
1618-2510
109-123
Borgoni, Riccardo
df9c90ab-c2d2-47d6-bcc7-1444a605d6ff
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Berrington, Ann M.
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Borgoni, Riccardo
df9c90ab-c2d2-47d6-bcc7-1444a605d6ff
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Berrington, Ann M.
bd0fc093-310d-4236-8126-ca0c7eb9ddde

Borgoni, Riccardo, Smith, Peter W.F. and Berrington, Ann M. (2009) Handling the effect of non-response in graphical models for longitudinal data. Statistical Methods & Applications, 18 (1), 109-123. (doi:10.1007/s10260-008-0093-9).

Record type: Article

Abstract

In this paper we investigated the use of attrition weights to cope with non-response when selecting graphical chain models for longitudinal data. We proposed a parametric bootstrap approach to account for the extra variability introduced by the estimation of the weights and compared this with results using standard test procedures.

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More information

Published date: March 2009
Keywords: Graphical chains, weighting, MAR, parametric bootstrap

Identifiers

Local EPrints ID: 150775
URI: http://eprints.soton.ac.uk/id/eprint/150775
ISSN: 1618-2510
PURE UUID: 1492bbac-61b0-422f-a361-df1e28640517
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410
ORCID for Ann M. Berrington: ORCID iD orcid.org/0000-0002-1683-6668

Catalogue record

Date deposited: 07 May 2010 08:39
Last modified: 14 Mar 2024 02:37

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Contributors

Author: Riccardo Borgoni

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