R help - Jul 2003 - group sequential and adaptive designs

Hello R users,

I am looking for R (or S) code related to group sequential or adaptive
designs for clinical trials. (The most prominent examples are the designs of
Pocock or O'Brien/Fleming, the alpha-spending function approach, or
Fisher's
combination test and the inverse normal method.) I am particularly interested in
the calculation of the critical boundaries, the handling of spending functions
and, most of all, power calculations. All I could find were announcements of
courses or postings related to the S-Plus SeqTrial module. No code. Can
anyone give a hint?

Many thanks in advance,
Marc

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On Thu, 10 Jul 2003 14:13:20 +0200 (MEST)
Marc Vandemeulebroecke <vandemem at gmx.de> wrote:
> Hello R users,
> 
> I am looking for R (or S) code related to group sequential or adaptive
> designs for clinical trials. (The most prominent examples are the designs
of
> Pocock or O'Brien/Fleming, the alpha-spending function approach, or
Fisher's
> combination test and the inverse normal method.) I am particularly
interested in
> the calculation of the critical boundaries, the handling of spending
functions
> and, most of all, power calculations. All I could find were announcements
of
> courses or postings related to the S-Plus SeqTrial module. No code. Can
> anyone give a hint?
> 
> Many thanks in advance,
> Marc
> 
If you get the U. of Wisconsin Biostatistics program ld98 executable, which
implements several spending functions in the Lan DeMets paradigm, you can use
the S function ldBands and its plot and summary methods, which call ld98. 
ldBands is in the Hmisc package at
http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html

ldBands works under Linux/Unix but has not been tested under Windows yet.
Get ld98 and its documentation from http://www.medsch.wisc.edu/landemets

ldBands makes ld98 easier to use.  Examples show how to do power calculations.
---
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat