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Biometry Research Group

Statistical Software

Partial Testing Design

(Written by Stuart G. Baker)

New Approach (with ROC curves): See Baker SG, Pinsky P. A proposed design and analysis for comparing digital and analog mammography: special ROC methods for cancer screening. JASA. June 2001.

Original Approach: These files are based on the manuscript by Baker SG, Connor RJ, Kessler LG. The partial testing design: a less costly way to test equivalence for sensitivity and specificity. Statistics in Medicine 1998;17:2219-2232.

It runs in Mathematica 2.2 (better for graphics) or 3.0 and requires the files listed below.


Download All (ZIP, 6KB)

File name / sizeDescription
ptd.m (M File, 11KB) Sample size calculations (and loads other files)
ptdtime.m (M File, 7KB) Compute optimal interval between screening tests
ptddelta.m (M File, 5KB) Create symbolic delta based on model parameters

To reproduce the calculations in the manuscript, load ptd.m.

To obtain the sample size tradeoff curve, use SampleSizePlot[{pN, pA, deltaN}], where pN and pA are the values of p under the null and alternative hypotheses, respectively, and deltaN is the value of delta under the null hypothesis. In the manuscript pN=pA=.09 and deltaN=-.05.

To obtain the minimum value of m* use SampleSizeLimit [{pN,pA,deltaN},n], where n is symbolic. To reproduce the table of optimal times between screens, type OptimalTimeList[deltasym,parsym,psilist]. To plot delta over time, use PlotDelta[deltasym,parsym,{.1,.5}].

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