logistic: Logistic Model

In MCPMod: Design and Analysis of Dose-Finding Studies

Description

The model function for the logistic model is defined as

f(d,theta)=E0+Emax/(1 + exp((ED50-d)/delta)).

Usage

logistic(dose, e0, eMax, ed50, delta)

Arguments

dose	Dose variable
e0	Left-asymptote parameter, corresponding to a basal effect level (not the placebo effect, though).
eMax	Asymptotic maximum change in effect from the basal level.
ed50	Dose giving half of the asymptotic maximum effect.
delta	Parameter controlling determining the steepness of the curve.

Details

The logistic model is intended to capture general monotone, sigmoid dose-response relationships.

Value

Response value

References

Pinheiro, J. C., Bretz, F. and Branson, M. (2006). Analysis of dose-response studies - modeling approaches, in N. Ting (ed.). Dose Finding in Drug Development, Springer, New York, pp. 146–171

See Also

betaMod, logistic, sigEmax, linlog, linear, quadratic, exponential

MCPMod documentation built on March 26, 2020, 7:28 p.m.