## Statistical Software

### Missing Binary Outcome with an Auxiliary Variable and All-or-None Compliance

(written by Stuart G. Baker)

These files are based on the manuscript by Baker SG. Analyzing a randomized cancer prevention trial with a missing binary outcome, an auxiliary variable, and all-or-none compliance. *Journal of the American Statistical Association* 2000;95:43-50.

It runs in Mathematica 3.0 and requires the files listed below.

### Downloads

Download All (zip, 25kb)

File name / size | Description |

modall.m (M File, 2KB) |
Main program (which loads others) |

modcorA.m (M File, 13KB) |
Model A core program |

modA.m (M File, 5KB) |
Model A |

modcorAM.m (M File, 23KB) |
Model AM core program |

modcorC.m (M File, 13KB) |
Model C core program |

modC.m (M File, 4KB) |
Model C |

modcorAC.m (M File, 23KB) |
Model AC core program |

modAC.m (M File, 6KB) |
Model AC |

modvar.m (M File, 10KB) |
Functions for some variance calculations (MP transformation) |

modsim.m (M File, 4KB) |
Functions for simulations |

To reproduce the calculations in the manuscript load modall.m and use the functions:

modA[{1.2,1}, n, "NUL"], modA[{1.2,1.1}, n, "ALT"],

modC[{1.2}, n, "NUL"], modC[{1.2}, n, "ALT"], modAC[{1.2,1}, n, "NUL"], modAC[{1.2,1.1}, n, "ALT"].

The parameter n is the number of simulations where n=0 gives an analytic approximation only. The value 1.2 is the ratio of the probability of missing given finasteride to the probability of missing given placebo. The values 1 and 1.1 are the ratios of true positive rates in the finasteride group to those in the placebo group.

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