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)
| modall.m (m, 2kb) |
Main program (which loads others) |
| modcorA.m (m, 13kb) |
Model A core program |
| modA.m (m, 5kb) |
Model A |
| modcorAM.m (m, 23kb) |
Model AM core program |
| modcorC.m (m, 13kb) |
Model C core program |
| modC.m (m, 4kb) |
Model C |
| modcorAC.m (m, 23kb) |
Model AC core program |
| modAC.m (m, 6kb) |
Model AC |
| modvar.m (m, 10kb) |
Functions for some variance calculations (MP transformation) |
| modsim.m (m, 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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