Dose - Response Estimation
Dose-response models are common in agriculture and biology. The programs demonstrate various
techniques of binary dose-response estimation within SAS. Examples are given for the Logistic Model:
y = 1/(1 + exp(-B*(dose - G)))
where y = the proportion of sucesses, B is a rate related parameter, G is the estimate of the 50th percentile
and dose is the applied dose. The probit model analyzes a linearized form:
log(y/(1-y)) = A` - B*dose
Where A` is B*G from the previous form. The Bayesian solution reparamterizes the first form in terms of
T1, the initial proportion of sucesses at dose = 0, and T2, the final proportion of sucesses at dose = maximum.
prior distributions for T1 and T2 are assumed uniform.
Source
Probit Analysis
NLIN Analysis
GNLIM Analysis
Bayesian Analysis
GNLIM Treatment Comparison Analysis
Data
Black Vine Weevil Data