cox {cutoff} R Documentation

Significant Cutoff Value for Cox Regression

Description

Significant Cutoff Value for Cox Regression

Usage

cox(data, time, y, x, cut.numb, n.per, y.per, p.cut = 0.05,
strict = TRUE, include = "low", round = 2, adjust = 1)


Arguments

 data data time name for time variable y name for y, must be coded as 1 and 0. The outcome must be 1 x name for x cut.numb number of cutoff points n.per the least percentage of the smaller group comprised in all patients y.per the least percentage of the smaller outcome patients comprised in each group p.cut cutoff of p value, default is 0.05 strict logical. TRUE means significant differences for each group combination were considered. FALSE means considering for any combination include direction of cutoff point. Any left letter of lower or upper round digital. Default is 2 adjust numeric value, adjust methord for p value. 1, defaulted, represents Bonferroni. 2 represent formula given by Douglas G in 1994

Value

a dataframe contains cutoff points value, subject numbers in each group, dumb variable, beta of regression and p value.

Examples

cox(data=mtcars,
time = 'disp', y='am', x='wt',
cut.numb=2,
n.per=0.25,
y.per=0.10)

cox(data=mtcars,
time = 'disp', y='am', x='wt',
cut.numb=2,
n.per=0.25,
y.per=0.10,
p.cut=0.05,
strict=TRUE,
include='low',
round=2)


[Package cutoff version 1.3 Index]