Multiple comparisons distortions of parameter estimates

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Multiple comparisons distortions of parameter estimates.

In experiments involving many variables, investigators typically use multiple comparisons procedures to determine differences that are unlikely to be the result of chance. However, investigators rarely consider how the magnitude of the greatest observed effect sizes may have been subject to bias resulting from multiple testing. These questions of bias become important to the extent investigator...

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Multiple comparisons

While multiple testing procedures have been the focus of much statistical research, an important facet of the problem is how to deal with possible confounding. Procedures have been developed by authors in genetics and statistics. In this chapter, we relate these proposals. We propose two new multiple testing approaches within this framework. The first combines sensitivity analysis methods with ...

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Ascertainment-adjusted parameter estimates revisited.

Ascertainment-adjusted parameter estimates from a genetic analysis are typically assumed to reflect the parameter values in the original population from which the ascertained data were collected. Burton et al. (2000) recently showed that, given unmodeled parameter heterogeneity, the standard ascertainment adjustment leads to biased parameter estimates of the population-based values. This findin...

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ژورنال

عنوان ژورنال: Biostatistics

سال: 2006

ISSN: 1465-4644,1468-4357

DOI: 10.1093/biostatistics/kxl025