Description Usage Arguments Details Author(s) References See Also
Calulcation of the information/covariance based on a presumed survival function under the alternative hypothesis.
1 2 3 |
rho |
First power parameter for the Fleming-Harrington weight which weighs on the early departures: S(t^-)^ρ(1-S(t^-))^γ. |
gamma |
Second power parameter for the Fleming-Harrington weight which weighs on the late departures: S(t^-)^ρ(1-S(t^-))^γ. |
lambda |
Event hazard for the control arm. |
theta |
Hazard ratio after the change point (before the change point HR should be 1). |
eps |
Change point. |
R |
End of the accrual period. |
p |
Treatment assignment probability. |
t.star |
Time point we pause the study to check the cumulative information under the null. |
rho1 |
First power parameters for the two Fleming-Harrington weights, defined for covariance calculation. |
gamma1 |
Second power parameters for the two Fleming-Harrington weights, defined for covariance calculation. |
rho2 |
First power parameters for the two Fleming-Harrington weights, defined for covariance calculation. |
gamma2 |
Second power parameters for the two Fleming-Harrington weights, defined for covariance calculation. |
This function is prepared to calculate the predicted information/covariance purely based on the assumed survival function under the alternaitve hypothesis: the control group is following an exponential distribution with hazard lambda
, while the treatment group is following a piece-wise exponential distribution with same hazard before eps
, but a hazard equals theta
times the lambda
after eps
.
Lili Wang.
Hasegawa, T. (2016). Group sequential monitoring based on the weighted log‐rank test statistic with the Fleming–Harrington class of weights in cancer vaccine studies. Pharmaceutical statistics, 15(5), 412-419.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.