For offerings in Stata see all the survival goodies at
Wim van Putten (putten@@stah.azr.nl)
Ron van der Holt (holt@@stah.azr.nl)
Wilfried Graveland (graveland@@stah.azr.nl)
Dept of Statistics
Erasmus Medical center
Erasmus MC - Daniel den Hoed Cancer Center
http://home.planet.nl/~wimvanputten
In Stata
Net from "http://home.planet.nl/~wimvanputten";
Net describe wgmiscel
Wilfried Graveland
Dept of Statistics, Erasmus MC
Rotterdam, The Netherlands
email: [email protected]
Programs on interim analysis:
interim simulate studies under several true state conditions and
specified timepoints of
interim analysis. After simulation the stopping
probabilities of several stopping
criteria can be calculated by using afterinterim.ado
afterinterim obtain stopping probabilities of several stopping
criteria for studies
simulated by interim.ado
monitor Program for monitoring a study: calculates stopping
probabilities for given sign. levels
survdes A sequential design graphic for a survival endpoint in
which the logrank-statistic
is plotted by the information. The borders are found
by a sequential nominal test.
For things not in Stata: besides East200 and the package at David deMets
home site (referred to by other posters), there are a couple of S+
offerings (S+Sequential as an add on, very expensive) and S-Plus routines
from John Lawrence at FDA, Divison of Biometrics I, Rockville Maryland (J
Lawrence. Designing group sequential trials with survival endpoints. Drug
Inf.J. 36:9-15, 2002)
John moran
[email protected]
-----Original Message-----
From: Clyde Schechter [mailto:[email protected]]
Sent: Tuesday, December 10, 2002 5:44 AM
To: [email protected]
Subject: st: Stopping rules for multiple looks at data
Do any of you know of any Stata code to calculate stopping rules for
multiple, prospectively planned, sequential looks at study data, preserving
overall Type I and Type II error rates? I tried -findit- with a number of
different keywords but didn't get anything that looked like what I need.
Thanks for any help.
Clyde Schechter
Dept. of Family Medicine & Community Health
Albert Einstein College of Medicine
Bronx, NY, USA
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* http://www.ats.ucla.edu/stat/stata/
