GSED (version 2.6)

magnusson_turnbull: Application of GSED on data

Description

magnusson_turnbull is used apply GSED design, selection or evaluation at each stage, on data.

Usage

magnusson_turnbull(stage_cur, keep=NA, N_subsets, Y, I, l, u, ordering, 
increasing_theta=FALSE)

Value

An list is returned, consisting of:

Rejection

Interger with value 1 if the decision is to reject the null hypothesis, 0 otherwise.

Acceptation

Interger with value 1 if the decision is to accept the null hypothesis, 0 otherwise.

Keep

Vector of indices of selected subgroups (between 1 and N_subsets).

Arguments

stage_cur

Integer representing the current stage. 0 represents selection at stage 1, 1 represents evaluation at stage 1, while k (>1) represents evaluation at stage k.

keep

Vector of indices of selected subgroups if selection at stage 1 is already performed. Values must be between 1 and N_subsets. By default filled with NA if the function is run for selection step.

N_subsets

Integer representing the number of possible subgroups.

Y

Efficient score test statistics. For stage_cur>0 (evaluation at stage 1 or k (k>1),), value representing the efficient score test statistic for all (pooled) selected subgroup. For stage_cur=0 (selection at stage 1), vector representing the efficient score test statistic for each subgroup.

I

Observed Fisher information. For stage_cur>0 (evaluation at stage 1 or k (k>1),), value representing the observed Fisher information for all (pooled) selected subgroup. For stage_cur=0 (selection at stage 1), vector representing the observed Fisher information for each subgroup.

l

Vector containing the lower boundaries for stagewise decisions.

u

Vector containing the upper boundaries for stagewise decisions.

ordering

Boolean indicating if the subgroups (theta) are ordered.

increasing_theta

Boolean indicating if greater values of theta parameters represent better treatment effects. The default value is set at FALSE.

Author

Marie-Karelle Riviere-Jourdan

References

Baldur P. Magnusson and Bruce W. Turnbull. Group sequential enrichment design incorporating subgroup selection. Statistics in Medicine, 2013. <doi:10.1002/sim.5738>

Examples

magnusson_turnbull(stage_cur=0, keep=NA, N_subsets=3, Y=c(-10.71,12.84,19.06), 
I=c(480,144,176), l=c(0.7962,2.5204), u=c(2.7625,2.5204), ordering=FALSE)

magnusson_turnbull(stage_cur=2, keep=c(2,3), N_subsets=3, Y=135.57, 
I=1120, l=c(0.7962,2.5204), u=c(2.7625,2.5204), ordering=FALSE)