Description Details Author(s) Examples

This package generates power for the Cox proportional hazards model by simulating survival events data with time dependent exposure status for subjects. A dichotomous exposure variable is considered with a single transition from unexposed to exposed status during the subject time's in the study.

Package: | SimHaz |

Type: | Package |

Version: | 0.1 |

Date: | 2015-09-29 |

License: | GPL-2 |

Depends: R (>= 3.1.1) Imports: survival |

Danyi Xiong, Teeranan Pokaprakarn, Hiroto Udagawa, Nusrat Rabbee

Maintainer: Nusrat Rabbee <[email protected]>

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
# Simulate a dataset of 600 subjects with time-dependent exposure without
# considering minimum follow-up time or minimum post-exposure follow-up time.
# Specifically, set the duration of the study to be 24 months; the median time to
# event for control group to be 24 months; exposure effect to be 0.3; median time
# to censoring to be 14 months; and exposure proportion to be 20%.
df1 <- tdSim.method1(N = 600, duration = 24, lambda = log(2)/24, rho = 1,
beta = 0.3, rateC = log(2)/14, exp.prop = 0.2,
prop.fullexp = 0, maxrelexptime = 1, min.futime = 0,
min.postexp.futime = 0)
# We recommend setting nSim to at least 500. It is set to 10 in the example to
# reduce run time for CRAN submission.
ret <- getpower.method1(nSim = 10, N = 600, b = 0.3, exp.prop = 0.2,
type = "td", scenario = " ", maxrelexptime = 1/6, min.futime = 4,
min.postexp.futime = 4, output.fn = "output.csv")
``` |

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