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MUFPADA Announcment

From: Johnson, Robert <johnson.rd.1>
Date: Wed, 7 Feb 2007 11:03:12 -0500

Midwest Users Forum for Population Approaches in Data Analysis

*** 15th Annual Meeting Call for papers ***
*** 2 - 4 MAY 2007 in Cincinnati Ohio hosted by ICON ***

MUFPADA provides an informal forum for discussion of diverse
pharmacokinetic and pharmacodynamic analyses using population methods.
In addition to providing a forum for discussion of methodology and
specific successes and failures, the sessions provide an opportunity to
discuss the role pharmacostatistical modeling and simulation should play
in drug development and registration. PK/PD modelers,
pharmacometricians, statisticians, and allied scientists from industry,
academia and the FDA have contributed to the dynamic interplay of
previous meetings. This year's theme is Categorical Data Analysis, with
the keynote presentation by Dr. Adrian Dunne (University College,

Attendees are encouraged to submit a title for a podium presentation of
~30 minutes, allowing an additional 15-30 minutes for discussions.
Presentations of work in progress are welcome. Please provide a title
and brief description of the presentation no later than March 15th, 2006


Dr. Rob Johnson, johnson.rd.1

Procter and Gamble Pharmaceuticals

8700 Mason Montgomery Road.

Mason, OH 45040

(513) 622-1571




Register online at




A 1.5-day workshop led by Dr. Adrian Dunne on categorical data analysis
will be offered (at additional cost) on Wednesday (2 May) and Thursday
morning, prior MUFPADA commencing at 1:00 Thursday afternoon. Course
lectures will examine individual subject or population modeling,
analysis, and simulation of binary or categorical data. The emphasis
will be applied, rather than theoretical, with use of example data sets
and case studies. Methods will be demonstrated in detail using NONMEM
and PDx-POP software. For more information go to



Robert D. Johnson, Ph.D

Procter and Gamble Pharmaceuticals

Experimental Medicine

(513) 622-1571


Received on Wed Feb 07 2007 - 11:03:12 EST

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