resultstantoRfunc.rand {BayesianPlatformDesignTimeTrend} | R Documentation |
This function summarise the mix effect stan output data to and transform them to be readable.
resultstantoRfunc.rand(group, fit, armleft, treatmentindex, K, ns)
group |
The current stage |
fit |
The stan output |
armleft |
The number of treatment left in the platform (>2) |
treatmentindex |
A vector of treatment index at the beginning of a trial |
K |
Total number of arms at the beginning |
ns |
A vector of accumulated number of patient at each stage |
A list of stan result inference stats1: A vector of posterior probability for all treatment arms including dropped and active treatment arm stats4: The mean treatment effect estimate of each treatment compared to control stats5: The variance of treatment effect estimate of each treatment compared to control post.prob.btcontrol: a vector including Posterior probability of each active treatment arm better than control stats6: A vector of mean stage (time trend) effect estimate stats7: A vector of mean treatment - stage (time trend) interaction effect estimate sampefftotal: The posterior samples of response probability of each active arm on logit scale. This can be transformed to probit scale by using inv.logit() function.
Ziyan Wang
## Not run: resultstantoRfunc.rand(group, fit, armleft, treatmentindex, K, ns)