summary.cmm {survidm}

Summarizing fits of cmm class

Description

Produces a summary of a fitted coxidm model (proportional hazards regression model in each transition of the Illness-Death Model.

Usage

  ## S3 method for class 'cmm'
summary(object, type=NULL, conf.level = 0.95, ...)

Arguments

object

A fitted cmm object as produced by coxidm().

type

Type of summary of the Cox model. Default value is "NULL" that produces a summary of a fitted coxidm model. Possible choices are "anova" and "ph". The "anova" option provides the Analysis of Deviance of the regression model. The "ph" option computes the tests of the proportional hazards assumption of the Cox Regression models.

conf.level

Level for computation of the confidence intervals. If set to FALSE no confidence intervals are printed.

...

Other options.

Value

A data frame or a list containing the following components:

coef

Estimated coeficients.

exp(coef)

Exponent of the estimated coefficients.

lower 0.95

Lower limit of the confidence interval.

upper 0.95

Upper limit of the confidence interval.

pvalue

obtained pvalue testing that the coefficient is equals to zero.

Other data frames with the Analysis of Deviance or the tests of the Proportional Hazards Assumption of the Cox Regression models.

Author(s)

Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho.

Examples

  cmm1 <- coxidm(survIDM(time1, event1, Stime, event) ~ age, data = colonIDM)
  summary(cmm1, conf.level = 0.95)

  cmm2 <- coxidm(survIDM(time1, event1, Stime, event) ~ rx + sex + age + nodes,
                 data = colonIDM)
  summary(cmm2)

  summary(cmm2,type = 'anova')

  cmm3 <- coxidm(survIDM(time1, event1, Stime, event) ~ rx + sex + age + nodes,
                 data = colonIDM, semiMarkov = TRUE)
  summary(cmm3)

  cmm4 <- coxidm(survIDM(time1, event1, Stime, event) ~ rx + sex + age +
                pspline(nodes) + surg + adhere, data = colonIDM)

  summary(cmm4, type = 'ph')