Suppose that independent experiments each indicate general qualitative results, such as higher than normal incidence rates of tumors for exposed populations. This paper suggests methods for amalgamating the qualitative results from several such experiments into a more quantitative form, such as a do
Combining Information from Similar Experiments: I. Statistical Issues
β 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
No coin nor oath required. For personal study only.
β¦ 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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