| pbc2 | R Documentation |
Followup of 312 randomised patients with primary biliary cirrhosis, a rare autoimmune liver disease, at Mayo Clinic.
A data frame with 1945 observations on the following 20 variables.
idpatients identifier; in total there are 312 patients.
yearsnumber of years between registration and the earlier of death, transplantion, or study analysis time.
statusa factor with levels alive, transplanted and dead.
druga factor with levels placebo and D-penicil.
ageat registration in years.
sexa factor with levels male and female.
yearnumber of years between enrollment and this visit date, remaining values on the line of data refer to this visit.
ascitesa factor with levels No and Yes.
hepatomegalya factor with levels No and Yes.
spidersa factor with levels No and Yes.
edemaa factor with levels No edema (i.e., no edema and no diuretic therapy for edema),
edema no diuretics (i.e., edema present without diuretics, or edema resolved by diuretics), and
edema despite diuretics (i.e., edema despite diuretic therapy).
serBilirserum bilirubin in mg/dl.
serCholserum cholesterol in mg/dl.
albuminalbumin in gm/dl.
alkalinealkaline phosphatase in U/liter.
SGOTSGOT in U/ml.
plateletsplatelets per cubic ml / 1000.
prothrombinprothrombin time in seconds.
histologichistologic stage of disease.
status2a numeric vector with the value 1 denoting if the patient was dead, and 0 if the patient was alive or transplanted.
The data frame pbc2.id contains the first measurement for each patient. This data frame is used to
fit the survival model.
Fleming, T. and Harrington, D. (1991) Counting Processes and Survival Analysis. Wiley, New York.
Therneau, T. and Grambsch, P. (2000) Modeling Survival Data: Extending the Cox Model. Springer-Verlag, New York.
summary(pbc2.id)
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