Coefficient, Printing, and Summary Methods for a Semiparametric Cure Model Object

coef.semicure, print.semicure, summary.semicure

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