Activity Number:
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424
- SPEED: Statistical Education
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 3:05 PM to 3:50 PM
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Sponsor:
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Section on Statistical Education
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Abstract #325118
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Title:
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A prediction model for understanding statistical replication
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Author(s):
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Andrew Neath*
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Companies:
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SIU Edwardsville
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Keywords:
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hypothesis testing ;
effect size
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Abstract:
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There is growing concern over the number of scientific findings that fail when replication is attempted. Traditional statistical inference is designed as a look back to how data originates. Perhaps we also need to look ahead in anticipation of what data we will see next. Through the use of a Bayesian prediction model, this paper seeks to determine what can reasonably be expected to occur in a replication trial.
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Authors who are presenting talks have a * after their name.
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