Description Usage Arguments Value Author(s) See Also

`aCGH.test`

function tests for association of each clone in an
univariate manner with censored or continous outcome by fitting Cox
proportional hazards model or linear regression model. There is also
an alternative to Cox prop. hazards - testing for differences in
survival curves defined by the groups in the outcome variable using
the *G^ρ* family of tests.

1 2 3 |

`aCGH.obj` |
aCGH object containing clones' log2 ratios. |

`rsp` |
Response variable which is either |

`test` |
Currently only three values are allowed - "coxph",
"survdiff", and "linear.regression", which test for association
using Cox proportional hazards model, |

`p.adjust.method` |
This is a parameter controlling how the
p-values from the univariate tests are going to be adjusted for
multiple testing. Default value is Benjamini & Hochberg (1995) FDR
method. Please refer to |

`imputed` |
Whether imputed or original log2ratios should be used. Default is TRUE (imputed). |

`subset` |
Specifies subset index of clones to be tested. |

`strt` |
Aptional strata variable for splitting the data in different strata. |

`...` |
Optional parameters passed further along to each of the univariate testing functions. |

A data frame similar to the result returned from
`mt.maxT`

function from `multtest`

package with
components:

`index` |
Vector of row indices, between 1 and |

`teststat` |
Vector of test statistics, ordered according to |

`rawp` |
Vector of raw (unadjusted) |

`adjp` |
Vector of adjusted |

Peter Dimitrov

`aCGH`

, `Surv`

, `mt.maxT`

,
`coxph`

, `survdiff`

, `p.adjust`

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