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From: an12365@mdaali.cancer.utexas.edu (E. Neely Atkinson)
Newsgroups: comp.archives
Subject: [sci.math.stat] software available - clinical trials
Message-ID: <1991Feb20.064127.18190@ox.com>
Date: 20 Feb 91 06:41:27 GMT
References: <4580@lib.tmc.edu>
Sender: emv@ox.com (Edward Vielmetti)
Reply-To: an12365@mdaali.cancer.utexas.edu (E. Neely Atkinson)
Followup-To: sci.math.stat
Organization: Univ. Texas M.D. Anderson Cancer Center
Lines: 98
Approved: emv@ox.com (Edward Vielmetti)
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Archive-name: math/stat/clinical-trials/1991-01-18
Archive: mdaali.cancer.utexas.edu:/pub/index [129.106.1.6]
Original-posting-by: an12365@mdaali.cancer.utexas.edu (E. Neely Atkinson)
Original-subject: software available - clinical trials
Reposted-by: emv@ox.com (Edward Vielmetti)

Computer code written by members  of the Department of Biomathematics,
the University of Texas M. D. Anderson Cancer Center is now available.
The programs perform the following listed functions.  The code  can be
freely copied and used (shareware distribution is encouraged) although
the authors  retain copyright for the University  of Texas in order to
control possible commercial  incorporation.  The last  section of this
message contains instructions on how to obtain it.

                              ++++++++++++++++++++

                                     KSB1CI
     
     KSB1CI (k-stage   binomial  one group  confindence    intervals) finds
     confidence intervals for single- or multiple-stage trials  involving a
     single group which have a binomial outcome.  The  confidence intervals
     are calculated  by a  minor  modification of  the  Clopper and Pearson
     method  to k-stage use.   The lower value  of the confidence  limit is
     that probability that causes the observed  number of events or more to
     have  probability 1-c/2 where  c  is   the confidence level; the upper
     limit is symmetrically defined.

                                     KSBIN1
     
     KSBIN1 performs computations needed to plan multiple-stage experiments
     involving  dichotomous outcomes for  a single group;  the outcomes are
     distributed binomially.  In  k-stage  experiments,  the  results   are
     examined at  each of k  predetermined times; at  each examination, the
     experiment  can  be terminated because   of either early  proof of the
     result or  because   obtaining such proof  is   very   unlikely if the
     experiment is continued.  The assumption of a binomial distribution of
     outcomes  implies that the outcomes are   independent of each other at
     that the probability of  the event of  interest  is the same for  each
     outcome.  KSBIN1 performs its calculations  only for a  single  group;
     i.e., the case in which a comparison of the  probability of event with
     a fixed value.
     
                                    RANLIST
     
     RANLIST  produces randomization lists and  offers a  primitive form of
     interactive randomization.    RANLIST  features  both   restricted and
     unrestricted randomization.   When  restricted randomization  is used,
     fixed or random balance points may be chosen.
     
                                    STATTAB
     
     STATTAB calculates the cumulative distribution funcions, inverses, and
     values  of parameters  for many common  statistical distributions.  It
     can also produce tables of any one calculated iten as a  function of a
     specified list of values of another item.


                                   STPLAN

     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.
     
                                    WINDOWS
     
     WINDOWS provides a variety of window/kernel/moving-average estimators.
     Both fixed  width and fixed number  of nearest  neighbor  windowing is
     provided.   Weighting of  points  may be  done  either with  boxcar or
     biquartic weights.   Estimates  available  include weighted   mean,  a
     linear or  quadratic  fit,  maximum or   minimum value,    a specified
     percentile, the standard  deviation,   and  the derivative of y   with
     respect to x.  Cross validation is also included.

                              ++++++++++++++++++++


                                 How to Get It


    The code is available by anonymous ftp to mdaali.cancer.utexas.edu
(129.106.1.6) as  tar.Z files.  Information is  on file  index of pub.
Directory pub  contains source;  msdos contains msdos executables, and
directory mac will shortly contain macintosh executables.  Be  sure to
read the README files on msdos or mac.

    The source is also available on  statlib as uuencoded tar.Z files.
For information on statlib send mail whose  message is 'send index' to
statlib@temper.stat.cmu.edu.     For  specific information on    these
packages, add the line 'send index from utexas' to the message.

    MSDOS executables have been posted to CompuServe (look for keyword
'statistics' in IBMAPP).  MacIntosh executables will be posted soon.

E. Neely Atkinson
an12365@mdaali.cancer.utexas.edu


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