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Combining Information from Similar Experiments: I. Statistical Issues

✍ Scribed by Dr. J. S. Verducci


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
692 KB
Volume
30
Category
Article
ISSN
0323-3847

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✦ Synopsis


A general method for combining information froin similar experiments is illustrated in the case where two independent experiments are designed to estimate a dose-response curve. By accounting for variability acrosa experiments, the proposed method avoids inferential pitfalls such as extended forms of Simpson's paradox. The validity of the method is supported by seven fundamental assumptions about data from replicated experiments. I n contrast, an example indicates that failing to reject a preliminary test of equal distributions is inadequate justification for pooling data from two experiments. Methods that account for the variability across experiments in terms of known covariatea are also discussed.


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