Abstract
Incremental dosages of medicines usually cause incremental treatment efficacies. This chapter is to assess whether trend tests are more sensitive than traditional ANOVAs for continuous outcome data (analyses of variance) and chi-square tests for binary outcome data to demonstrate the incremental efficacies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Electronic Supplementary Material(s)
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H. (2020). Trend Tests Will Be Statistically Significant if Traditional Tests Are Not (30 and 106 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_45
Download citation
DOI: https://doi.org/10.1007/978-3-030-33970-8_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33969-2
Online ISBN: 978-3-030-33970-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)