Regression models for time to seroconversion following experimental bovine leukaemia virus infection

Marie‐Liesse G. Lassauzet, Wesley O. Johnson, Mark Thurmond

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper develops a parametric model for time to seroconversion after experimental bovine leukaemia virus (BLV) infection, and examines the effects of inoculation route, volume of inoculum, type of inoculation material, and antigen status of donor on seroconversion time. We used parametric and nonparametric statistical methodology to analyse interval data on 150 animals from 13 published reports. The log‐logistic model fitted the observed times to seroconversion better than the log‐normal or Weibull models, which were the considered alternatives.

Original languageEnglish (US)
Pages (from-to)725-741
Number of pages17
JournalStatistics in Medicine
Volume8
Issue number6
DOIs
StatePublished - Jan 1 1989

Fingerprint

Experimental Leukemias
Bovine Leukemia Virus
Leukemia
Virus Diseases
Virus
Infection
Regression Model
Weibull Model
Interval Data
Parametric Model
Animals
Antigens
Methodology
Alternatives
Seroconversion

Keywords

  • Bovine leukaemia virus
  • Interval‐censored data
  • Log‐logistic regression
  • Survival analysis

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Cite this

Regression models for time to seroconversion following experimental bovine leukaemia virus infection. / Lassauzet, Marie‐Liesse G.; Johnson, Wesley O.; Thurmond, Mark.

In: Statistics in Medicine, Vol. 8, No. 6, 01.01.1989, p. 725-741.

Research output: Contribution to journalArticle

Lassauzet, Marie‐Liesse G. ; Johnson, Wesley O. ; Thurmond, Mark. / Regression models for time to seroconversion following experimental bovine leukaemia virus infection. In: Statistics in Medicine. 1989 ; Vol. 8, No. 6. pp. 725-741.
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