Treatment comparisons with screenable endpoints

I. S.F. Chan, D. Hillman, T. A. Louis

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a method for treatment comparison when the disease endpoint can be discovered by either screening or clinical surfacing. Assuming a zero false negative screening rate, we develop a score test for comparing treatments while adjusting for the mode of discovery based on a three-state progressive disease model with a discrete proportional hazards formulation of the treatment effect. By simulation we evaluate and compare the performance of the score test to the log-rank test. The results suggest that the score test is more efficient when screening rates are balanced between groups, and it greatly reduces the bias in the situation of asymmetric screening intensity.

Original languageEnglish (US)
Pages (from-to)401-419
Number of pages19
JournalComputational Statistics and Data Analysis
Volume27
Issue number4
DOIs
StatePublished - Jun 5 1998
Externally publishedYes

Keywords

  • Discrete proportional hazard
  • Interval censoring
  • Jackknife
  • Score test
  • Three-state disease model

ASJC Scopus subject areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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