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

hohnloser {maxstat} | R Documentation

## Left ventricular ejection fraction of patients with malignant ventricular tachyarrhythmias.

### 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)

[Package maxstat version 0.7-25 Index]