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  • Study planning software (X-post)

    Dear Biomch-L readers,

    The software described in the following announcement may be
    useful for biomechanical studies. Most of us are familiar
    (unfortunately) with the situation where statistical analysis
    could not provide a good answer to the research question. This
    software helps you to prevent such problems by considering
    statistical analysis in the planning stage. The software is in
    the public domain. I have not tried this, so comments are
    welcome.

    -- Ton van den Bogert, Biomch-L moderator

    >From: bwb@odin.mda.uth.tmc.edu (Barry W. Brown)
    >Newsgroups: comp.lang.fortran,sci.math.num-analysis,sci.math.stat,sci.stat.math,comp.programm ing,sci.stat.consult
    >Subject: ANNOUNCE - Sample Size, Power, Etc. Program
    >Date: 9 Nov 1993 15:49:34 GMT
    >Organization: University of Texas M.D. Anderson Cancer Center


    STPLAN 4.0

    STPLAN performs power, sample size, and related calculations needed to
    plan studies. Parameters of a test include those necessary to
    describe the distributions under the null and alternative hypotheses,
    sample sizes, significance levels, and power. Given values for all
    but one parameter, STPLAN will calculate the value of that one
    parameter.

    The following testing situations are covered by STPLAN:

    Studies with Outcomes Distributed According to the Binomial Distribution
    One-sample test
    Two-sample test
    Two-sample above and below the median
    Fisher's exact
    Matched pairs test for equality of proportions
    Conservative versus expensive treatment
    Two-sample test in which one group is a historic control
    K-sample
    Case-control
    Sample size correction for loss of subjects over time

    Studies with Outcomes Distributed According to the Poisson Distribution
    One-sample test
    Two-sample test

    Studies with Outcomes Distributed According to the Normal Distribution
    One-sample test
    Two-sample test, equal variances
    Two-sample test, unequal variances
    Two-sample log-normal

    Studies with Outcomes Distributed According to the Exponential Distribution
    One-sample test
    Two-sample test

    Studies whose Outcome is a Set of Survival Times.
    Randomized clinical trial for exponential survival times
    Comparison with a historic control - exponential survival
    Randomized clinical trial - two different hazard rates depending on time

    Studies whose Outcome is the Correlation Coefficient
    One-sample test


    MAJOR CHANGES IN 4.0

    The major changes are: (1) the ability to produce tables of any one
    quantity as a function of any other, and (2) a complete report format
    that allows exact reconstruction of the calculation. In addition
    three new testing calculations have been added.

    A TASTE OF THE OUTPUT OF THE NEW VERSION

    ***** Two-sample Binomial (Arcsin approximation) *****


    These calculations are for a two sided test.

    Probability of an event in group 1 ...... .200

    Probability of an event in group 2 ...... .400

    Significance level ...................... .050

    Number of equal
    trials in each group Power

    10.000 .166
    20.000 .287
    30.000 .402
    40.000 .507
    50.000 .599
    60.000 .678
    70.000 .744
    80.000 .799
    90.000 .843
    100.000 .878
    110.000 .906
    120.000 .929
    130.000 .946
    140.000 .959
    150.000 .969

    HOW TO GET IT

    The source code is available by anonymous ftp from
    odin.mda.uth.tmc.edu. (129.106.3.17).

    Source

    /pub/unix/stplan-4.0-tar.Z

    MSDOS Executable

    /pub/stplan40.exe

    This is an self-extracting file containing an MSDOS executable
    version of Stplan plus documentation. The file was created with a
    licensed copy of PkZip. STPLAN was compiled using the Watfor compiler
    and so requires a 386 (or better) machine to run.

    Barry W. Brown
    Department of Biomathematics,
    Box 237
    University of Texas M. D.
    Anderson Hospital
    1515 Holcombe Blvd
    Houston, TX 77030

    bwb@odin.mda.uth.tmc.edu
    internet address is (129.106.3.17)
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