Description Usage Arguments Details Value References See Also Examples
Sample size calculator for a one-stage Bayesian CRM (see Details for design specification).
1 |
apcs |
The desired average probability of correction selection (PCS) under the logistic calibration set. |
target |
The target DLT rate. |
nlevel |
The number of test doses. |
psi |
Effect size, i.e., odds ratio of the logistic dose-toxicity curves. |
correction |
Continuity correction is applied in the sample size calculation if TRUE (default). Otherwise if FALSE. |
detail |
Print only essential results for trial planning if FALSE (default). Otherwise if TRUE. |
The sample size calculation is based on empirical approximation for the CRM using the power (or empiric)
dose-toxicity function, F(d, β) = d^{\exp(β)}, where β has a normal prior with
mean 0 and variance 1.34, and the starting dose is the median level.
The “skeleton" is obtained by setting halfwidth
at 0.25 \times target
,
and nu
at the median level in the function getprior
.
The calculation is intended to serve as an initial sample size for the CRM calibration process depicted in Figure 7.1 in Cheung (2011).
An object of class “crmsize" is returned, consisting of the following components:
n |
The calculated sample size. |
astar |
The desired average PCS. |
target |
The target DLT rate. |
nlevel |
The number of test doses. |
psi |
Odds ratio. |
bstar |
An intermediate value used to calculate the sample size. Shown only if |
efficiency |
Ratio of required sample sizes of the optimal benchmark and the CRM. Shown only if |
correction |
Whether continuity correction is applied. Shown only if |
na |
The CRM sample size before rounding up. |
nb |
The sample size lower bound before rounding up. |
messages |
String characters prompt warning messages and caveats regarding the sample size calculation. |
Cheung, Y. K. (2011). Dose Finding by the Continual Reassessment Method. New York: Chapman & Hall/CRC Press.
1 2 3 4 5 6 7 8 9 10 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.