plot.predict.semicure

coef.semicure, print.semicure, summary.semicure Coefficient, printing, and summary methods for a semiparametric cure model object

DESCRIPTION

Retrieving coefficients, printing method, and summary mthod for a semicure object.

USAGE

coef(object)
print(object)
summary(object)

ARGUMENTS

object:

a fitted semicure object.

VALUE

coef(object) retrieves the estimated coefficients from object.
print(object) prints object in an easy read format.
summary(object) prints a summary of object.

The standard errors of estimated coefficients are not available from SEMICURE package. Users may use the bootstrap technique to obtain the standard errors.

SEE ALSO

semicure, coef, print, summary, SEMICURE main page.

EXAMPLES

> z <- semicure(Surv(time, cens) ~ transplant, ~ transplant, data = goldman.data)
> coef(z)
 transplant (Intercept) transplant 
  0.3166252    1.216835  0.1884882
> summary(z)
Call:
semicure(formula = Surv(time, cens) ~ transplant, cureform =  ~ transplant, 
	data = goldman.data)

Summary of estimated uncured probabilities:
 Min. 1st Qu. Median   Mean 3rd Qu. Max. 
    0       1      1 0.7694       1    1

Summary of failure time distribution model:
Call:
coxph(formula = Surv(time, cens) ~ transplant + offset(log(uncureprob)), 
	subset = uncureprob != 0, method = "breslow")

  n= 80 

            coef exp(coef) se(coef)    z     p 
transplant 0.317      1.37     0.13 2.43 0.015

           exp(coef) exp(-coef) lower .95 upper .95 
transplant      1.37      0.729      1.06      1.77

Rsquare= 0.072   (max possible= 0.997 )
Likelihood ratio test= 5.96  on 1 df,   p=0.0146
Wald test            = 5.92  on 1 df,   p=0.015
Score (logrank) test = 6.07  on 1 df,   p=0.0138

NULL

Summary of cure probability model:

Call: glm(formula = uncureprob ~ transplant, family = binomial(link = "logit"))
Deviance Residuals:
       Min        1Q    Median       3Q      Max 
 -1.802604 0.6623694 0.6623694 0.781942 0.781942

Coefficients:
                Value Std. Error   t value 
(Intercept) 1.2168353   0.250799 4.8518347
 transplant 0.1884882   0.250799 0.7515509

(Dispersion Parameter for Binomial family taken to be 1 )

    Null Deviance: 92.1888 on 90 degrees of freedom

Residual Deviance: 91.62084 on 89 degrees of freedom

Number of Fisher Scoring Iterations: 3 

Correlation of Coefficients:
           (Intercept) 
transplant 0.1099786