---
data_dictionary: grace1000.dat

description: >
  This dataset illustrates the use of time-varying
  covariates.

source: 
  Hosmer, D.W. and Lemeshow, S. and May, S. (2008)
  Applied Survival Analysis. Regression Modeling 
  of Time to Event Data. Second Edition, John Wiley
  and Sons Inc., New York, NY (see Chapter 7)

download_url:
  text-format: ftp://ftp.wiley.com/public/sci_tech_med/survival/
  
note:  
  Youcan find SAS and SPSS formats of these datasets at
  https://stats.idre.ucla.edu/wp-content/uploads/2016/02/asa2_sas.zip
  https://stats.idre.ucla.edu/wp-content/uploads/2016/02/asa2_spss.zip

format: 
  space-delimited

varnames:
  not included
  
missing_value_code: 
  not needed
  
size:  
  rows: 1000
  columns: 9

vars:
  id:
    label: Patient Identification Number

  days:
    label: Follow Up Time
    unit: days
    special notes: 
      Patients discharged on same day assigned
      a value of 0.5.

  death:
    label: Death During Follow Up
    value:
     Death: 1
     Censored: 0

  revasc:
    label: Revascularization Performed
    value:
       Yes: 1
       No: 0

  revascdays:
    label: Time to Revascularization After Admission
    unit: days
    special notes:
      Set to follow up time if no revascularization

  los:
    label: Length of Hospital Stay
    unit: days
    
  age:
    label: Age at Admission
    unit: years
    
  sysbp:
    label: Systolic Blood Pressure on Admission
    unit: mm Hg

  stchange:
    label: ST-segment deviation on index ECG
    value:
      Yes: 1
      No: 0
---