An object of the smartSST S3 class, with the following elements:
sstdat:
data.frame with sens, spec, mu, sigsq and sample size (n)
mu_Barm:
The value of mu_Barm passed to the function
sigsq_Barm:
The value of sigsq_Barm passed to the function
Arguments
mu_Barm
named vector of the means for the Barm for the
smart SST trial, with names 'G1' and 'G0'
sigsq_Barm
named vector of the variances (sigma-squared) for the Barm for the
smart SST trial, with names 'G1' and 'G0'
nsubject
total sample size for the trial
Barm
for the second phase of the trial, the 'B' level for
which the means/variances apply
type
trial response variable type; only continuous is
implemented currently
sens
range of sensitivity for smart SST calculations; (0,1]
spec
range of specificity for smart SST calculations; (0,1]
pG_A1
probability of response to therapy given assignment to A1
pG_A2
probability of response to therapy given assignment to A2
pran_A1
probability of random assignment to A1
pran_Barm
probability of assignment to Barm
Author
Jun (Jessie) He, Aberaham Eyman-Casey, Jason P. Sinnwell, Mayo Clinic
Details
more details on smart SST
References
Jun He, Donna K. McClish & Roy T. Sabo (2021) Evaluating Misclassification Effects on Single Sequential Treatment in Sequential Multiple Assignment Randomized Trial (SMART) Designs, Statistics in Biopharmaceutical Research, DOI: 10.1080/19466315.2021.1883472