Description Usage Arguments Details Value Author(s) Examples

Produces some statistics for the overall (non-predictive) comparison of the E and C
for the same dataset for which the predictive model `pact.fit`

was developed.

1 |

`p` |
An object of class |

Statistics for the overall comparison of the E and C is produced for the the
data from a randomized clinical trial. The input is an object of class `pact`

.

An list with the following components. As a side effect, these are also printed on screen

`family` |
The response variable type used |

`nobs` |
The sample size |

`n.E` |
Number of subjects getting the new treatment |

`n.C` |
Number of subjects getting the control treatment |

`LR` |
The log-rank statistic for the overal difference in survival between E and C groups (for family="cox") |

`LR.pval` |
The p-value for LR based on the log-rank test (for family="cox") |

`RR.E` |
The response rate for group treated with E (new treatment) (for family="binomial") |

`RR.C` |
The response rate for group treated with C (Control) (for family="binomial") |

`RRdiff.pval` |
The chi-square test based pvalue for the difference in response rates (for family="binomial") |

Jyothi Subramanian and Richard Simon

Maintainer: Jyothi Subramanian <[email protected]>

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
data(prostateCancer)
Y <- prostateCancer[,3:4]
Xf <- prostateCancer[,7:8]
Xv <- prostateCancer[,c(5:6,9)]
Treatment <- as.factor(prostateCancer[,2])
p <- pact.fit(Y=Y, Xf=Xf, Xv=Xv, Treatment=Treatment, family="cox", varSelect="none")
overall.analysis(p)
### Binary response
data(EORTC10994)
Y <- as.factor(EORTC10994[,4])
Xv <- EORTC10994[,c(2,5:7)]
Treatment <- as.factor(EORTC10994[,3])
p <- pact.fit(Y=Y,Xv=Xv,Treatment=Treatment,family="binomial",varSelect="none")
overall.analysis(p)
``` |

pact documentation built on May 29, 2017, 3:12 p.m.

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