cgd {bayesSurv} | R Documentation

## Chronic Granulomatous Disease data

### Description

Dataset from Fleming and Harrington (1991).

Data from a multicenter placebo-controlled randomized trial of gamma inferon in patients with chronic granulomatous disease (CGD). 128 patients were randomized to either gamma inferon (n=63) or placebo (n=65). For each patient the times from study entry to initial and any recurrent serious infections are available. There is a minimum of one and a maximum of eight (recurrent) infection times per patient, with a total of 203 records.

### Usage

    data(cgd)

### Format

a~data frame with 203 rows and 17 columns. There are the following variables contained in the data frame.

hospit
  code of the hospital
ID
  case identification number
RDT
  date randomization onto study (mmddyy)
IDT
  date of onset of serious infection, or date the patient was taken off the study (mmddyy)
trtmt
  treatment code, 1 = rIFN-gamma, 2 = placebo
inherit
  pattern of inheritance, 1 = X-linked, 2 = autosomal recessive
age
  age in years
height
  height of the patient in cm
weight
  weight of the patient in kg
cortico
  using corticosteroids at time of study entry, 1 = yes, 2 = no
prophy
  using prophylatic antibiotics at time of study entry, 1 = yes, 2 = no
gender
  1 = male, 2 = female
hcat
  hospital category, 1 = US-NIH, 2 = US-other, 2 = Europe - Amsterdam, 4 = Europe - other
T1
  elapsed time (in days) from randomization (from sequence = 1 record) to diagnosis of a serious infection or, if a censored observation, elapsed time from randomization to censoring date; computed as IDT - RDT (from sequence = 1 record)
T2
  0, for sequence = 1 record, if sequence > 1, T2 = T1(from previous record) + 1
event
  censoring indicator, 1 = non-censored observation, 2 = censored observation
sequence
  sequence number, for each patient, the infection recods are in sequence number order

### Source

Appendix D.2 of Fleming and Harrington (1991).

### References

Fleming, T. R. and Harrington, D. P. (1991). Counting Processes and Survival Analysis. New York: John Wiley and Sons.

[Package bayesSurv version 0.4 Index]