Description Usage Arguments Value References
Return a message that contains the estimated strategy-specified means and their confidence interval, as well as the asymptotic variance-covariance matrix for these estimates.
1 2 3 4 5 6 7 8 9 |
sim |
A numeric matrix containing the values of treatment sequence-specific parameters to generate the SMART data, including the values of stage-specific treatments, intermediate outcome and final primary outcome. |
delta |
The standardized effect size for sample size calculation. |
df |
The degrees of freedom for the chisquare test. |
alpha |
Type I error rate. |
beta |
Type II error rate. |
global |
If TRUE then power the SMART based on a global test, otherwise power the SMART based on a pairwise test. The default is TRUE |
family |
A character string to specify the type of final primary outcome. The default is family=“gaussian”, which refers to the continuous primary outcome. If family=”binomial” then the primary outcome will be treated as binary variable. |
Standardized effect size and total sample size for SMART
delta: standardized effect size
n: total sample size
Murphy, S. A. (2005). An experimental design for the development of adaptive treatment strategies. Statistics in Medicine. 24(10): 1455-1481.
Ogbagaber S. B., Karp, J., and Wahed A.S. (2015). Design of sequentially randomization trials for testing adaptive treatment strategies. Statistics in Medicine. DOI: 10.1002/sim.6747.
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