ODMIXED: A tool to obtain optimal designs for heterogeneous longitudinal studies with dropout

Shirley Ortega, Frans E. S. Tan, Martijn P. F. Berger

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)62-71
JournalComputer Methods and Programs in Biomedicine
Volume101
Issue number1
DOIs
Publication statusPublished - Jan 2011

Keywords

  • D-optimal designs
  • Dropout
  • Heterogeneous autocorrelation
  • Linear mixed models
  • Longitudinal data
  • Relative efficiency

Cite this

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title = "ODMIXED: A tool to obtain optimal designs for heterogeneous longitudinal studies with dropout",
keywords = "D-optimal designs, Dropout, Heterogeneous autocorrelation, Linear mixed models, Longitudinal data, Relative efficiency",
author = "Shirley Ortega and Tan, {Frans E. S.} and Berger, {Martijn P. F.}",
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language = "English",
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journal = "Computer Methods and Programs in Biomedicine",
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}

ODMIXED: A tool to obtain optimal designs for heterogeneous longitudinal studies with dropout. / Ortega, Shirley; Tan, Frans E. S.; Berger, Martijn P. F.

In: Computer Methods and Programs in Biomedicine, Vol. 101, No. 1, 01.2011, p. 62-71.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Ortega, Shirley

AU - Tan, Frans E. S.

AU - Berger, Martijn P. F.

PY - 2011/1

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KW - D-optimal designs

KW - Dropout

KW - Heterogeneous autocorrelation

KW - Linear mixed models

KW - Longitudinal data

KW - Relative efficiency

U2 - 10.1016/j.cmpb.2010.04.004

DO - 10.1016/j.cmpb.2010.04.004

M3 - Article

VL - 101

SP - 62

EP - 71

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

SN - 0169-2607

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