Problem
The estimated gradient of the curve (parameter b) is too influenced by non-responders when fitting noisy data.
Implementation
*Alternatively, set limits on the gradient before running the model. However, when David tried that with the data set which the problem was observed for the gradient estimate was just the lower limit.
Problem
The estimated gradient of the curve (parameter b) is too influenced by non-responders when fitting noisy data.
Implementation
*Alternatively, set limits on the gradient before running the model. However, when David tried that with the data set which the problem was observed for the gradient estimate was just the lower limit.