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
- 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.
