coef.semicure, print.semicure, summary.semicure |
Coefficient, printing, and summary methods for a semiparametric cure model object |
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DESCRIPTION
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Retrieving coefficients, printing method, and summary mthod for a semicure object.
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USAGE
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coef(object)
print(object)
summary(object)
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ARGUMENTS
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object:
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a fitted semicure object.
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VALUE
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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.
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SEE ALSO
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semicure, coef, print, summary, SEMICURE main page.
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EXAMPLES
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> 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
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