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Activity Number:
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265
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Council of Chapters
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| Abstract - #308048 |
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Title:
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Statistics and Causal Inference: Past and Present
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Author(s):
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Paul Holland*+
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Companies:
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Educational Testing Services
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Address:
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Rosedale Road, Mailstop 12-T, Princeton, NJ, 08541,
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Keywords:
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Neyman-Rubin Model ; causal inference ; regression coeficients ; observational studies
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Abstract:
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The Neyman-Rubin (NR) model has become the basis for much of the statistical thinking about measuring causal effects and the causal interpretation of regression coefficients and related model parameters. This paper will review the NR model and its antecedents and emphasize how it is expanded to accommodate causal inference problems of increasing complexity.
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