A repeated significance test in a linear model

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1 Scopus citations


In clinical trials we often need a sequential testing procedure for a difference between two medical treatments whose effectiveness is influenced by prognostoc factors. This article considers a repeated significance test on regression coefficients in a linear regression model. We first derive approximations for the overall significance level and power of the test and compare our test with a fixed sample test. We then discuss applications of these results to the sequential comparison of two treatments and also discuss the effect of allocation rules on the behavior of the test statistics.

Original languageEnglish (US)
Pages (from-to)113-126
Number of pages14
JournalSequential Analysis
Issue number2
StatePublished - Jan 1 1994


  • allocation rule
  • asymptotic distribution
  • sequential regression

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation


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