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Abstract Details
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Activity Number:
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585
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2012 : 4:00 PM to 5:50 PM
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Sponsor:
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ASA
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| Abstract - #305148 |
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Title:
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In Praise of Simplicity, Not Mathematistry! Ten Simple, Powerful Ideas for the Statistical Scientist
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Author(s):
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Roderick Little*+
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Companies:
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University of Michigan/U.S. Census Bureau
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Address:
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Department of Biostatistics, Ann Arbor, MI, 48109,
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Keywords:
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Abstract:
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R.A. Fisher was by all accounts a first-rate mathematician. However, he saw himself primarily as a scientist, and he railed against what George Box, in his Fisher lecture, called "mathematistry". Mathematics is, of course, an indispensable foundation of statistics. But I think our subject is not well served by being treated as a branch of mathematics, impenetrable to collaborators and fellow statisticians with limited mathematical resources. At the altar of simplicity, I offer ten simple and powerful ideas that have shaped my research and practice of statistics. I include examples in the areas of statistical modeling, missing data, causal inference, and survey sampling.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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