Testing for random dropouts in repeated measurement data

P. J. Diggle

Research output: Contribution to journalArticle

Abstract

Dropouts in repeated measurement data occur when the sequences of measurements on some experimental units are terminated prematurely. A number of methods which have been proposed for the analysis of repeated measurements with dropouts assume that the dropouts occur at random within experimental treatment group. This paper develops a method of testing the hypothesis of random dropouts within groups, and applies the method to published data concerning the effect of halothane on the blood pressure of rats following experimentally induced heart attack.

Original languageEnglish (US)
Pages (from-to)1255-1258
Number of pages4
JournalBiometrics
Volume45
Issue number4
StatePublished - 1989
Externally publishedYes

Fingerprint

dropouts
Repeated Measurements
Drop out
Testing
Blood pressure
testing
Halothane
Rats
myocardial infarction
Blood Pressure
halothane
Myocardial Infarction
blood pressure
methodology
Attack
Unit
rats

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Public Health, Environmental and Occupational Health
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Diggle, P. J. (1989). Testing for random dropouts in repeated measurement data. Biometrics, 45(4), 1255-1258.

Testing for random dropouts in repeated measurement data. / Diggle, P. J.

In: Biometrics, Vol. 45, No. 4, 1989, p. 1255-1258.

Research output: Contribution to journalArticle

Diggle, PJ 1989, 'Testing for random dropouts in repeated measurement data', Biometrics, vol. 45, no. 4, pp. 1255-1258.
Diggle, P. J. / Testing for random dropouts in repeated measurement data. In: Biometrics. 1989 ; Vol. 45, No. 4. pp. 1255-1258.
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