ABSTRACT
Chapter 10 begins with an account of how and why the Hill equation was introduced. The purpose of ‘the Hill’ was if not to explain, then at least to describe the aberrant behavior of dose-response relations and ease calculations. In Sub-chapter 10.2, I illustrate and discuss a frequently observed failure of linearity for experimental data in the so-called Hill plot Section 10.2.6. In Sub-chapter 10.3, there is an analysis and critique of what has been termed the ‘logistic’ Hill equation. The ‘logistic’ Hill is rendered perspective against the original logistic equation. An explanation is given of how the ‘logistic’ Hill equation is a mere semilog presentation-possibility of data when it is inserted into the Hill scheme. The chapter concludes with a list of facts about the use of the Hill formulation (Subchapter 10.4). Finally, the reader is taken on a brief tour through the history and use of the term logistic in data analyses, summarized in a Sub-chapter, Appendix 10.A, including statistical terms such as ‘logistic regression’ and ‘polytomous logistic regression’.
