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Readme file
SERIES C
 Applied Statistics
Estimating efficacy in a proposed randomized trial with initial and later non-compliance, by
S. G. Baker, C. Frangakis and K. S. Lindeman, Appl. Statist., 56 (2007), 211–221
The software involves two packages written in Mathematica 5.2: soapmanu.m and soapmle.m.
(The name comes from the Society for Obstetric Anesthesiology and
Perinatology). The package soapmle.m is a general maximum likelihood routine.
The package soapmanu.m computes the sample sizes for the scenarios in the text.
To reproduce the results in the paper, load the packages and type fitset[par], where par is
a symbolic parameter vector.
The software is tailored to the design described in the paper. Users wishing
to modify the software for their own application require familiarity with Mathematica.
Stuart G. Baker
National Cancer Institute
EPN 3131
6130 Executive Boulevard
MSC 7354 Bethesda
MD 20892-7354
USA
E-mail: sb16i@nih.gov
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Journals SERIES
A
Statistics
in Society
SERIES B
Statistical
Methodology
SERIES C
Applied
Statistics
SERIES D
The
Statistician
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