false positives

  1. C

    Diagnostic test - speciicity when multiple testing - clever statistician needed!

    During validation of a diagnostic test a false positive event is observed in 1 out of 60 occasions leading to a specificity of 98.3% when testing for a single event. If 30 events are looked for using this test at a single time point and detection of a single event is considered a positive...
  2. A

    conditional probability and trial of experiments

    Consider a medical test for a disease, D. The test mostly gives the right answer, but not always. Say its false-negative rate is 1% and its false-positive rate is 2%, that is, P(y | D) = 0.99; P(n | D) = 0.01; P(y | ¬D) = 0.02; P(n | ¬D) = 0.98. Assume that you perform the test 4 times in a...
  3. B

    Mass significance – information criterion

    In search for the ’best’ linear regression model with 10 potential predictors I calculated the Schwarz Bayesian Criterion (SBC) for every possible combination of predictors (POWER(2;10) = 1024). Do I have to take these 1024 models into account when adjusting my results for false positives? I...
  4. B

    Does fitting of a regression line as such contribute to mass significance?

    Is the fitting of a regression line (least squares, for a given number of predictors) as such to be regarded a statistical test that can contribute to mass significance? - I am searching for the best linear regression model and I have 10 potential predictors. I calculated the Schwarz Bayesian...