TESTING DOSE-RESPONSE RELATIONSHIPS WITH A PRIORI UNKNOWN, POSSIBLY NONMONOTONE SHAPES
- 1 January 2001
- journal article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 11 (3) , 193-207
- https://doi.org/10.1081/bip-100107657
Abstract
Usually, a monotone dose-response dependence can be assumed for the simultaneous comparison of increasing levels of a certain drug. However, sometimes a reversal of the dose-response curve is likely to occur at the higher doses. We investigate such violations of the monotonicity assumption. Adequate alternatives are discussed and the "protected trend alternative" is introduced. Together with the umbrella patterns described in the literature, we introduce new testing approaches for both alternatives. P-values/quantiles and power values/sample sizes are made numerically available and hence are readily computed. A short power study and the analysis of a data set from the literature demonstrate the improved behavior of the new methods.Keywords
This publication has 23 references indexed in Scilit:
- Numerical computation of multivariatet-probabilities with application to power calculation of multiple contrastsJournal of Statistical Computation and Simulation, 1999
- Analysis of Randomized Dose‐Finding‐Studies: Closure Test Modifications Based on Multiple Contrast TestsBiometrical Journal, 1997
- On closed test procedures for dose‐response analysisStatistics in Medicine, 1994
- Improved Tests for Comparing Treatments against a Control and other One-Sided ProblemsJournal of the American Statistical Association, 1992
- A test of homogeneity for umbrella alternatives and tables of the level probabilitiesCommunications in Statistics - Theory and Methods, 1988
- Comparison of Several Treatments with a Control Using Multiple ContrastsJournal of the American Statistical Association, 1987
- Tests for Patterned Alternatives ink-Sample ProblemsJournal of the American Statistical Association, 1987
- K-Sample Rank Tests for Umbrella AlternativesJournal of the American Statistical Association, 1981
- Ordered tests in the analysis of varianceBiometrika, 1961
- A Multiple Comparison Procedure for Comparing Several Treatments with a ControlJournal of the American Statistical Association, 1955