/* Name: icu.sas Title: The ICU data KEYWORDS: Logistic Regression SIZE: 200 observations, 21 variables NOTE: These data come from Appendix 2 of Hosmer and Lemeshow (1989). These data are copyrighted and must be acknowledged and used accordingly. DESCRIPTIVE ABSTRACT: The ICU data set consists of a sample of 200 subjects who were part of a much larger study on survival of patients following admission to an adult intensive care unit (ICU). The major goal of this study was to develop a logistic regression model to predict the probability of survival to hospital discharge of these patients and to study the risk factors associated with ICU mortality. A number of publications have appeared which have focused on various facets of the problem. The reader wishing to learn more about the clinical aspects of this study should start with Lemeshow, Teres, Avrunin, and Pastides (1988). SOURCE: Data were collected at Baystate Medical Center in Springfield, Massachusetts. REFERENCES: 1. Hosmer and Lemeshow, Applied Logistic Regression, Wiley, (1989). 2. Lemeshow, S., Teres, D., Avrunin, J. S., Pastides, H. (1988). Predicting the Outcome of Intensive Care Unit Patients. Journal of the American Statistical Association, 83, 348-356. */ proc format; value yn 0='No' 1='Yes'; value sex 0='Male' 1='Female'; value race 1='White' 2='Black' 3='Other'; value ser 0='Medical' 1='Surgery'; value admit 0='Elective' 1='Emergency'; value po 0='>60' 1='<=60'; value ph 0='>=7.25' 1='<7.25'; value pco 0='<=45' 1='>45'; value cre 0='<=2' 1='>2'; data icu; input id died age sex race service cancer renal infect cpr systolic hrtrate previcu admit fracture po2 ph pco bic creatin coma; label id = 'Patient id code' died = 'Died before discharge' /* 0=No, 1=Yes */ age = 'Age' /* years */ sex = 'Sex' /* 0 = Male, 1 = Female */ race = 'Race' /* 1 = White, 2=Black, 3 = Other */ service = 'Service at Admission' /* 0 = Medical, 1 = Surgical */ cancer = 'Cancer Part of Problem' /* 0=No, 1=Yes */ renal = 'History of Chronic Renal' /* 0=No, 1=Yes */ infect = 'Infection Probable' /* 0=No, 1=Yes */ cpr = 'CPR Prior to ICU Admission' /* 0=No, 1=Yes */ systolic = 'Systolic Blood Pressure' /* mm Hg */ hrtrate = 'Heart Rate at Admission' /* beats/min */ previcu = 'Previous Admit to ICU' /* 0=No, 1=Yes */ admit = 'Type of Admission' /* 0=Elec 1=Emerg */ fracture = 'Fracture' /* 0=No, 1=Yes */ po2 = 'PO2, inital Blood Gas' /* 0=>60, 1=<=60 */ ph = 'PH, inital Blood Gas' /* 0=7.25, 1= <7.25 */ pco = 'PCO2, inital Blood Gas' /* 0=45, 1= >45 */ bic = 'Bicarbonate, inital Blood' /* 0=18, 1= <18 */ creatin = 'Creatinine, inital Blood' /* 0=2, 1= >2 */ coma = 'Consciousness at ICU' /* 0=None 1=Stupor 2=Coma */ uncons = 'Stupor or coma at ICU'; white = (race=1); uncons= (coma>0); format died cancer renal infect cpr previcu fracture yn.; format sex sex. race race. admit admit. ph ph. pco pco. creatin cre.; /* D R C I A S A S C C I C S H P T F P P B C O I E G E C E A R N P Y R R Y R O P C I R M D D E X E R N N F R S A E P A 2 H O C E A */ datalines; 8 0 27 1 1 0 0 0 1 0 142 88 0 1 0 0 0 0 0 0 0 12 0 59 0 1 0 0 0 0 0 112 80 1 1 0 0 0 0 0 0 0 14 0 77 0 1 1 0 0 0 0 100 70 0 0 0 0 0 0 0 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96 0 1 0 0 0 0 0 0 0 613 1 75 0 1 0 0 1 1 0 130 119 0 1 0 0 1 0 1 1 0 666 1 65 1 1 0 0 0 1 1 104 150 0 1 0 0 0 1 0 0 2 671 1 49 0 1 0 0 0 1 1 140 108 0 1 0 0 0 0 1 0 0 706 1 75 1 1 0 0 1 1 1 150 66 0 1 0 0 0 0 0 1 2 740 1 72 1 1 0 0 0 0 0 90 160 0 1 0 0 0 0 0 0 0 751 1 69 0 1 0 0 1 0 0 80 81 0 1 0 0 0 0 0 0 2 752 1 64 0 1 0 1 0 1 0 80 118 0 1 0 1 0 0 0 1 0 789 1 60 0 1 0 0 0 1 0 56 114 1 1 0 0 1 0 1 0 0 871 1 60 0 3 1 0 1 1 0 130 55 0 1 0 0 0 0 0 0 1 921 1 50 1 2 0 0 0 0 0 256 64 0 1 0 0 0 0 0 0 1 ; proc sort; by descending died age;