hohnloser: Left ventricular ejection fraction of patients with malignant...

In maxstat: Maximally Selected Rank Statistics

Description

A data frame with the left ventricular ejection fraction of patients with malignant ventricular tachyarrhythmias including recurrence-free month and censoring.

Usage

data("hohnloser")

Format

EF

left ventricular ejection in percent

month

recurrence-free month

cens

censoring: 0 cencored, 1 not censored

The data used here is published in Table 1 of Lausen and Schumacher (1992).

Source

The data was first published by Hohnloser et al. (1987), the data used here is published in Table 1 of Lausen and Schumacher (1992).

References

Hohnloser, S.H., Raeder, E.A., Podrid, P.J., Graboys, T.B. and Lown, B. (1987), Predictors of antiarrhythmic drug efficacy in patients with malignant ventricular tachyarrhythmias. American Heart Journal 114, 1–7

Lausen, B. and Schumacher, M. (1992), Maximally Selected Rank Statistics. Biometrics 48, 73–85

Examples

set.seed(29)

library("survival")

# limiting distribution

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser, 
smethod="LogRank", pmethod="Lau92")

# with integer valued scores for comparison

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser, 
smethod="LogRank", pmethod="Lau92", iscores=TRUE)

# improved Bonferroni inequality

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="Lau94")

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="Lau94", iscores=TRUE)


# small sample solution by Hothorn & Lausen

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="HL")

# normal approximation

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="exactGauss")

maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="exactGauss", iscores=TRUE)

# conditional Monte-Carlo
maxstat.test(Surv(month, cens) ~ EF, data=hohnloser,
smethod="LogRank", pmethod="condMC", B = 9999)

maxstat documentation built on May 2, 2019, 2:44 a.m.