NumEvents: Compute number of events for a survival endpoint

In felix-hof/biostatUZH: Misc Tools of the Department of Biostatistics, EBPI, University of Zurich

Compute number of events for a survival endpoint

Description

This funtion is deprecated. Use survEvents instead.

Usage

NumEvents(
  HR,
  sig.level = 0.05,
  power = NULL,
  n.events = NULL,
  alloc.ratio = 1,
  non.inf.margin = NULL,
  type = "sup",
  alternative = "two.sided"
)

Arguments

HR	Hazard ratio of experimental group vs. control group.
sig.level	Significance level.
power	Desired power.
n.events	Required total number of events.
alloc.ratio	Allocation ratio: Ratio of the number of patients in the experimental group divided by the number of patients in the control group.
non.inf.margin	Non-inferiority margin.
type	Study type. Either "sup" or "superiority" for superiority studies or "noninf" or "non-inferiority" for non-inferiority studies. Default is "sup".
alternative	In c("one.sided","two.sided"), depending on whether the alternative hypothesis is one- or two-sided.

Details

Calculates either the required total number of events or the power.

Value

Returns either the required total number of events or the power.

Author(s)

Uriah Daugaard and Leonhard Held
[e-mail]

References

Collett, D. (2015). Modelling Survival Data in Medical Research. New York: Chapman and Hall/CRC.

Schoenfeld, D.A. (1983). Sample-Size Formula for the Proportional-Hazards Regression Model. Biometrics, 39, 499–503.

See Also

survEvents

Examples

## suppress deprecated warning
suppressWarnings(NumEvents(HR = 0.65, sig.level = 0.05, power = 0.9,
                           alloc.ratio = 1, type = "sup",
                           alternative = "two.sided"))

felix-hof/biostatUZH documentation built on Sept. 27, 2024, 1:48 p.m.