coxidm: Fit proportional hazards regression model in each transition...
In survidm: Inference and Prediction in an Illness-Death Model

Description Usage Arguments Value Author(s) Examples

Fits a Cox proportional hazards regression model for each transition.

1	coxidm(formula, data, semiMarkov = FALSE)

`formula`	A `formula` object, which must have a `survIDM` object as the response on the left of the `~` operator and, if desired, a term on the right. The term may be a qualitative or quantitative variable. Without covariates, the right hand side should be `~ 1`.
`data`	A data.frame including at least four columns named `time1`, `event1`, `Stime` and `event`, which correspond to disease free survival time, disease free survival indicator, time to death or censoring, and death indicator, respectively.
`semiMarkov`	By default, `FALSE`.

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 or lists:

`anova`	Analysis of Deviance for the Cox Regression models.
`zph`	Test the Proportional Hazards Assumption of the Cox Regression models.
`term`	Predicted values of splines and partial residual for the terms of the model.

Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho.

  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)

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