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BUMP: a FORTRAN program for identifying dose-response curves subject to downturns
1Department of Statistics, University of Illinois, Champaign 61820.
Computers and Biomedical Research, an International Journal
|February 1, 1989
Summary
BUMP software implements a modified Jonckheere-Terpstra test to analyze dose-response curves with potential downturns. This nonparametric approach is valuable for biological and toxicological studies.
Area of Science:
- Biostatistics
- Pharmacology
- Toxicology
- Environmental Science
Background:
- Traditional dose-response analyses often assume monotonic trends (increasing or decreasing).
- Biological systems can exhibit non-monotonic dose-response curves, such as a 'bump' shape, due to complex interactions like hormesis or toxicity.
- Existing statistical tests may not adequately capture these complex dose-response relationships.
Purpose of the Study:
- To introduce BUMP, a FORTRAN implementation of a modified Jonckheere-Terpstra test.
- To provide a nonparametric method for assessing dose-response relationships where a downturn at high doses is anticipated.
- To enable the assessment of initial dose-response increases while mitigating the influence of high-dose downturns.
Main Methods:
- Implementation of a modified Jonckheere-Terpstra test in FORTRAN.
- The BUMP system operates on SYSTAT/MYSTAT files and includes data conversion utilities.
- FORTRAN 77 source code is available for cross-platform compatibility.
Main Results:
- The modified Jonckheere-Terpstra test (BUMP) allows for the statistical evaluation of dose-response curves exhibiting an initial increase followed by a decrease.
- This method effectively assesses the significance of the increasing phase of the dose-response.
- The approach minimizes the confounding impact of high-dose toxicity or other downturn effects on the overall trend assessment.
Conclusions:
- BUMP provides a robust statistical tool for analyzing complex dose-response data common in biological and toxicological research.
- The software facilitates the identification of significant effects at lower doses, even in the presence of high-dose inhibition.
- Availability on IBM-PC compatibles and as source code enhances accessibility for researchers.
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