The Effects of Misspecification of a Regression Model

N. J.D. Nagelkerke, A. A.M. Hart, J. Oosting

Research output: Contribution to journalArticlepeer-review


The consequences of the misspecification of a regression model are considered. For small effects of covariates a proportional consistency theorem is derived. The consistent estimation of the covariance matrix of the estimates is discussed.

Original languageEnglish
Pages (from-to)141-145
Number of pages5
JournalBiometrical Journal
Issue number2
Publication statusPublished - 1987
Externally publishedYes


  • Consistency
  • Covariance matrix
  • Linear combination of covariates
  • Maximum likelihood
  • Misspecification of model

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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