Abstract
In Chap. 3, 7, and 8, we discussed five test statistics that can be used for testing the null hypothesis of homogeneity of means against order-restricted alternatives. A rejection of the null hypothesis implies a significant monotone trend of gene expression with respect to dose. In this chapter, we employ an alternative method to find genes with monotonic trends, namely, the multiple contrast test (MCT). We dicuss the method for both monotone and non monotone alternatives.
Keywords
- Multiple Contrast Tests (MCT)
- Significant Monotonic Trend
- Isotonic Mean
- Umbrella Alternatives
- Pool Adjacent Violators Algorithm (PAVA)
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Lin, D., Hothorn, L.A., Djira, G.D., Bretz, F. (2012). Multiple Contrast Tests for Testing Dose–Response Relationships Under Order-Restricted Alternatives. In: Lin, D., Shkedy, Z., Yekutieli, D., Amaratunga, D., Bijnens, L. (eds) Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R. Use R!. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24007-2_15
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