Introducing S-PLUS 2000
"Developments for the Pharmaceutical and Health Industries"
July 14th, 13:00 - 16:00
St. Bride Institute
Bride Lane (Fleet Street)
London
MathSoft are pleased to announce a FREE presentation of S-PLUS 2000,
a major upgrade of S-PLUS on the Windows platform. Two guest speakers,
Dr James Roger and Dr Scott Emerson will present on benefits of using
S-PLUS in the pharmaceutical and health sector. Dr James Roger, Livedata,
will present a comparison of Linear and Non-Linear mixed effects modelling
using S-PLUS and SAS. Dr Scott Emerson, University of Washington, is the
author of S-PLUS SeqTrial, a new S-PLUS module for the Sequential Trial
Design, due for release later this year.
An outline of the presentation schedule is given below:
13:00 - 13:30 Registration & refreshments
13:30 - 14:15 S-PLUS 2000 by Dave Smith, MathSoft
* Major Upgrade to Survival Analysis Tools
* New improved Dialogs for Statistical Analysis
* Enhanced Graphics for Data Analysis
* Powerful New Capabilities for Data Manipulation
14:15 - 15:00 Linear & Non-Linear Mixed models: How S-PLUS & SAS
match up, by Dr James Roger, Livedata
* What are linear mixed effects models?
* Why do we need random effects?
* Where are they used?
* Non-linear mixed effects models: conceptually
easy but difficult to fit.
* Software Solutions for Linear Mixed Models
* Software Solutions for Non-Linear Mixed Models
15:10 - 16:00 S-PLUS SeqTrial, by Dr Scott Emerson, University of
Washington
* Comprehensive evaluation tools
(power, conditional power, Bayesian)
* Complete set of sequential designs
* Specialised plot types & tabular output
* Exact point estimates, p-values and confidence
intervals
* Comprehensive validation tools
Further details and a registration form can be found at:
http://www.mathsoft.co.uk/splus/sp2000.htm
For further information about this presentation, or S-PLUS 2000 please
contact our Sales/Support Team on Tel: 01276 475 350, email:
[log in to unmask]
Dr Geoff Pegler
Sales Manager
MathSoft International
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
