8.2 Statistical Model for Bayesian Dose-Response

In this chapter we will only provide examples of a Bayesian hyperbolic e sub mehx of end sub model (Chapter 6). The sigmoid model or other non-linear models are out of scope [3,4]. It may be noted though that the sigmoid model can easily be implemented by adding a hill parameter to the hyperbolic model. From Section 6.4.1, the Bayesian hyperbolic e sub mehx of end sub model is written as
y sub i , equals , e sub 0 , plus e sub mehx of end sub . times . fraction d sub i , over e d sub 50 , plus , d sub i end fraction . plus , epsilon sub i,
where
  1. is the subject ID
  2. is the observed ...

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