coxidm: Fit proportional hazards regression model in each transition...

Description Usage Arguments Value Author(s) Examples

Description

Fits a Cox proportional hazards regression model for each transition.

Usage

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coxidm(formula, data, semiMarkov = FALSE)

Arguments

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.

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.

Author(s)

Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho.

Examples

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  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)

survidm documentation built on May 2, 2019, 2:14 p.m.