R Dataset / Package survival / cgd

On this R-data statistics page, you will find information about the cgd data set which pertains to Chronic Granulotomous Disease data. The cgd data set is found in the survival R package. You can load the cgd data set in R by issuing the following command at the console data("cgd"). This will load the data into a variable called cgd. If R says the cgd data set is not found, you can try installing the package by issuing this command install.packages("survival") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the cgd R data set. The size of this file is about 19,908 bytes.

Chronic Granulotomous Disease data

Description

Data are from a placebo controlled trial of gamma interferon in chronic granulotomous disease (CGD). Contains the data on time to serious infections observed through end of study for each patient.

Usage

cgd

Format

id

subject identification number

center

enrolling center

random

date of randomization

treatment

placebo or gamma interferon

sex

sex

age

age in years, at study entry

height

height in cm at study entry

weight

weight in kg at study entry

inherit

pattern of inheritance

steroids

use of steroids at study entry,1=yes

propylac

use of prophylactic antibiotics at study entry

hos.cat

a categorization of the centers into 4 groups

tstart, tstop

start and end of each time interval

status

1=the interval ends with an infection

enum

observation number within subject

Details

The cgd0 data set is in the form found in the references, with one line per patient and no recoding of the variables. The cgd data set (this one) has been cast into (start, stop] format with one line per event, and covariates such as center recoded as factors to include meaningful labels.

Source

Fleming and Harrington, Counting Processes and Survival Analysis, appendix D.2.

See Also

link{cgd0}

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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