The NIH is requesting through the email below comments concerning the role
of statistics and computing in medicl research that I thought might be of
interest to some on the list.


Bill


---------- Forwarded message ----------
Date: Fri, 18 Aug 2006 14:20:17 -0400
From: "Pfeffer, Andrea (NIH/NCI) [C]" <[EMAIL PROTECTED]>
To: [EMAIL PROTECTED]
Subject: Statistics, Computation, and Informatics

Dear Principal Investigators/Grantees,

The statistical community has a unique opportunity to share ideas with
the NIH leadership concerning major concrete problems facing NCI that
require heavy computation, informatics, and statistical or mathematical
methods for solution.  Developing methods to solve some key problems
would yield immediate benefits in understanding cancer biology,
etiology, prevention, early detection, treatment or control.  Perhaps
some of the methods used to solve particular problems would be useful
more generally.  For example, there is a need to develop methods for
data management and retrieval to process whole genome SNP data (500,000
SNPs) and combine it with individual-level covariates on thousands of
cases and controls to determine which SNPs influence cancer risk.  In
addition to a considerable data management problem, there are
statistical issues regarding how to screen for promising SNPs and how to
validate them in independent samples.

Ideas could be anything from developing a method to analyze protein
structure, developing linkages for SEER data, spatial statistics
methods/GIS, data mining, to simulation modeling  For each problem, give
a short description of why the problem is important and why it poses
"informatic" or other special challenges, broadly defined.

If you have something to submit, please send me a short paragraph by
Sept. 1.

Thanks,

Ram

Ram C. Tiwari, Ph.D.
Mathematical Statistician & Program Director
Statistical Research and Applications Branch
National Cancer Institute
6116 Executive Boulevard, MSC 8317
Suite 504
Bethesda, MD  20892-8317
Phone: 301-594-6546
Fax: 301-480-2046
Email: [EMAIL PROTECTED]

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