Description Usage Arguments Details Value Author(s) References See Also Examples

The `ScoreTest`

function conducts a *k*(>=2)-sample test for interval-censored survival data. The test is based on Finkelstein (1986). The null hypothesis is that all *k* survival functions of the failure time are the same, and the alternative hypothesis is that not all functions are the same. It is not referred as gLRT4 as in Zhao (2012).

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`A` |
an |

`k` |
number of treatments. The default is 2. |

`EMstep` |
a boolean variable indicating whether to take an EM step in the iteration when estimating the common distribution function. The default is TRUE. |

`ICMstep` |
a boolean variable indicating whether to take an ICM step in the iteration when estimating the common distribution function. The default is TRUE. |

`tol` |
the maximal |

`maxiter` |
the maximal number of iterations to perform before stopping when estimating the common distribution function. The default is 1000. |

`inf` |
value used in data for infinity. The default is Inf. |

Under the null hypothesis that *k* survival functions are the same, the NPMLE of the common survival function is computed by function `ModifiedEMICM`

.

The chi-square test in `ScoreTest`

has *k-1* degrees of freedom.

The function returns an object containing the following components:

`method` |
test procedure used |

`u` |
the test statistic |

`v` |
the estimated covariance of the test statistic |

`chisq` |
the chisquare test statistic |

`df` |
the degrees of freedom of the test |

`p` |
p-value of the test |

Qiang Zhao and Jianguo Sun

Finkelstein, DM (1986), "A Proportional Hazards Model for Interval-censored Failure Time Data", Biometrics, 42: 845-854.

Q. Zhao (2012), "gLRT - A New R Package for Analyzing Interval-censored Survival Data", Interval-Censored Time-to-Event Data: Methods and Applications, CRC Press, 377-396.

`ModifiedEMICM`

, `gLRT`

, `gLRT1`

, `gLRT2`

, `gLRT3`

, `gLRT4`

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