Web Links [Tag : biometrics]
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Home Page of WNAR, Western North American Region of the International Biometric Society
The Western North American Region The International Biometric Society Visit our Sister Organization The local organizer for the 2011 WNAR meeting: Jimmy Doi Previous 2010 WNAR Meeting of Washington – Seattle, WA 2010 WNAR/IMS Spring Meeting WNAR Regional Meeting Minutes Contests,
The Western North American Region The International Biometric Society Visit our Sister Organization The local organizer for the 2011 WNAR meeting: Jimmy Doi Previous 2010 WNAR Meeting of Washington – Seattle, WA 2010 WNAR/IMS Spring Meeting WNAR Regional Meeting Minutes Contests,
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Principal interests are: the development and application of statistical methods; the formulation of mathematical models to describe and explain underlying mechanisms and modes of action of fundamental processes; the interpretation of quantitative data in the biological sciences.
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American Statistical Association
Alexandria, VA 22314-3402 USA
(703) 684-1221 FAX: (703) 684-2036
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This page was last revised on Thursday, 07-Apr-2011 15:12:48 EDT
The principal interests of the Biometrics Section are:
The development and application of
For more detailed information about website content visit the original website, please...
For more detailed information about website content visit the original website, please...
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Statistician in the Department of Biostatistics at the University of Wisconsin-Madison. Research interests: statistical genetics, applied statistics, statistical computing.
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Home page of Karl Broman,
Professor of Biostatistics at the University of Wisconsin-Madison
We may at once admit that any inference from the particular to the general must be attended with some degree of uncertainty, but this is not the same as to admit that such inference cannot be absolutely rigorous, for the nature and degree of the uncertainty may itself be capable of rigorous
We may at once admit that any inference from the particular to the general must be attended with some degree of uncertainty, but this is not the same as to admit that such inference cannot be absolutely rigorous, for the nature and degree of the uncertainty may itself be capable of rigorous
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