Multivariate Stochastic Orders Induced by Case-Control Sampling

Ori Davidov, Amir Herman

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


It is shown that retrospective sampling induces stochastic order relations in case-control studies. More specifically if the regression function is increasing and the covariates are positively dependent, then the covariates for cases are larger, with respect to some multivariate stochastic order, than the covariates of the controls. Strong dependence concepts yield strong multivariate stochastic orders. Conversely, different multivariate stochastic orders imply different monotonicity properties on the regression function. The results carry over to marginal models, transformed models and to problems involving confounders. The results set forth a new theoretical foundation for the analysis of case-control studies.

Original languageEnglish
Pages (from-to)139-154
Number of pages16
JournalMethodology and Computing in Applied Probability
Issue number1
StatePublished - 1 Mar 2011
Externally publishedYes


  • Dependence concepts
  • Monotonicity
  • Multivariate stochastic orders
  • Regression
  • Total positivity

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics (all)


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