I.0: Precdict information/covariance under null hypothesis

Description Usage Arguments Details Author(s) References See Also

View source: R/Hasegawa2016.R

Description

Calulcation of the information/covariance based on a presumed survival function under the null.

Usage

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I.0(rho, gamma, lambda, R, p, t.star)

I.0.cov(rho1, gamma1, rho2, gamma2, lambda, R, p, t.star)

Arguments

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.

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, rho2

First power parameters for the two Fleming-Harrington weights, defined for covariance calculation.

gamma1, gamma2

Second power parameters for the two Fleming-Harrington weights, defined for covariance calculation.

Details

This function is prepared to calculate the predicted information/covariance purely based on the assumed survival function under the null hypothesis: an exponential distribution with hazard lambda.

Author(s)

Lili Wang.

References

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.

See Also

I.1


lilywang1988/IAfrac documentation built on March 11, 2021, 11:53 a.m.