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[Experimental]

Helper function for nextBest-NextBestMaxGain() method. It computes a 95% credibility intervals for given target dose and max gain dose. It also returns a ratio of upper and lower bounds of the interval.

Usage

h_next_best_mg_ci(dose_target, dose_mg, prob_target, placebo, model, model_eff)

Arguments

dose_target

(number)
target dose estimate.

dose_mg

(number)
the dose corresponding to the maximum gain.

prob_target

(proportion)
target DLT probability.

placebo

(flag)
if TRUE the first dose level in the dose grid used is considered as placebo. This is needed to adjust the max gain dose using efficacy constant value. If the placebo was used, then the model_eff@const is added to dose_mg.

model

(ModelTox)
the DLT model.

model_eff

(Effloglog)
the efficacy model.

References

Yeung, W.Y., Whitehead, J., Reigner, B., Beyer, U., Diack, Ch., Jaki, T. (2015), Bayesian adaptive dose-escalation procedures for binary and continuous responses utilizing a gain function, Pharmaceutical Statistics, doi:10.1002/pst.1706