pbc.Rd
Follow up 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.
id
patients identifier; in total there are 312 patients.
years
number of years between registration and the earlier of death, transplantion, or study analysis time.
status
a factor with levels alive
, transplanted
and dead
.
drug
a factor with levels placebo
and D-penicil
.
age
at registration in years.
sex
a factor with levels male
and female
.
year
number of years between enrollment and this visit date, remaining values on the line of data refer to this visit.
ascites
a factor with levels No
and Yes
.
hepatomegaly
a factor with levels No
and Yes
.
spiders
a factor with levels No
and Yes
.
edema
a 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).
serBilir
serum bilirubin in mg/dl.
serChol
serum cholesterol in mg/dl.
albumin
albumin in g/dl.
alkaline
alkaline phosphatase in U/liter.
SGOT
SGOT in U/ml.
platelets
platelets per cubic ml / 1000.
prothrombin
prothrombin time in seconds.
histologic
histologic stage of disease.
status2
a numeric vector with the value 1 denoting if the patient was dead, and 0 if the patient was alive or transplanted.
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.
The data frame pbc2.id
contains the first measurement for each patient. This data frame is used to
fit the survival model.