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Dealing with multiplicities in pharmacoepidemiologic studies

✍ Scribed by William F. Rosenberger

Book ID
102660445
Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
520 KB
Volume
5
Category
Article
ISSN
1053-8569

No coin nor oath required. For personal study only.

✦ Synopsis

The problem of multiplicities arises in almost all aspects of scientific studies. When multiple hypotheses are tested in a study, one must adjust the significance level of individual tests to maintain an overall probability error rate. The reasons for this are explored in a non-technical way. Techniques for dealing with multiplicities are described and motivated and guidelines are given, with implications for both study design and publication. KEY WORDS -confidence interval estimation; multiple testing problem; p-values; probability error rate; tests of hypothesis; type I error PRELUDE This article discusses statistical hypothesis testing and confidence interval estimation, including the concepts of null and alternative hypotheses, rejection region, type I error, a-level (also called type I error rate or significance level), p-value, and Confidence interval estimation. Any standard statistics textbook will give a good review.'

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