nbevent: Number of events estimates

In coprimary: Sample Size Calculation for Two Primary Time-to-Event Endpoints in Clinical Trials

Description

To determine the sample size N in clinical trials with time to event endpoint, it is necessary to proceed in two steps. In the first step, the numbers of events that need to be observed (e) are computed. In the second step, we determine the number of patients necessary to observe the number of events required. This function computes the number of event for one-time-to event.

Usage

nbevent(hypsurv,pe,alfa,beta,design)

Arguments

hypsurv	For Superiority=c(Sc,Se); for Non inferiority=c(Sc,Se,SeA); for Equivalence=c(Sc, Se), with Sc is survival rate in the control arm; Se is survival rate in experimental arm; SeA is the survival rate in the experimental arm under the alternative hypothesis.
pe	Proportion (ratio) of patients assigned to the experimental arm (with 0<pe<1).
alfa	Type I error, for Non inferiority, Equivalence and 1-sided superiority, alfa is a vector of length one. For 2-sided superiority, alfa is a vector to length two c(alpha.low, alpha.up).
beta	Probability of a type II error.
design	Superiority=c(1,sided)[with sided=1 if 1-sided and 2 if 2-sided]; Non inferiority=c(2); Equivalence=c(1,1)

Details

The nbevent function computes the required number of events to determine the number of patients.

Value

E: Number of events

h: Hazard Ratio under null hypothesis(HR=log(Se)/log(Sc))

h.alt: Hazard Ratio under alternative hypothesis (h.alt=log(SeA)/log(Sc))

References

Chow, S. C., Shao, J., Wang, H. (2003). Sample Size Calculation in Clinical Research. New York: Marcel Dekker.

Schoenfeld. Sample-size formula for the proportional-hazards regression model. Biometrics. 1983 39<499>503.

coprimary documentation built on May 1, 2019, 10:10 p.m.