Description Usage Arguments Value See Also Examples

View source: R/OrdinaryCalibration.R

Fits a proportional hazards calibration model for time-to-exposure from interval-censored data with covariates. The exposure is a binary covariate measured
in intermittent times. The covariates (`Q`

) are associated with the time-to-exposure.

1 | ```
FitCalibCox(w, w.res, Q, hz.times, n.int = 5, order = 2)
``` |

`w` |
A matrix of time points when measurements on the binary covariate were obtained. |

`w.res` |
A matrix of measurement results of the binary covariate. It corresponds to the time points in |

`Q` |
Matrix of covariates for PH calibration model |

`hz.times` |
Times used for calculating the baseline hazard function from PH calibration model |

`n.int` |
The number of interior knots to be used, see |

`order` |
the order of the basis functions. See |

An object created by ICsurv::fast.PH.ICsurv.EM, with additional variables `knots`

and `order`

.

1 2 3 4 5 6 7 8 9 10 | ```
sim.data <- ICcalib:::SimCoxIntervalCensCox(n.sample = 200, lambda = 0.1,
alpha = 0.25, beta0 = 0,
gamma.q = c(log(0.75), log(2.5)),
gamma.z = log(1.5), mu = 0.2,
n.points = 2)
# The baseline hazard for the calibration model is calculated in observation times
cox.hz.times <- sort(unique(sim.data$obs.tm))
# Fit proprtional hazards calibration model
FitCalibCox(w = sim.data$w, w.res = sim.data$w.res, Q = sim.data$Q,
hz.times = cox.hz.times, n.int = 5, order = 2)
``` |

ICcalib documentation built on Jan. 20, 2018, 9:52 a.m.

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