Dataset Information

When to combine hypotheses and adjust for multiple tests.

ABSTRACT:

Objective

To provide guidelines for identifying composite hypotheses and addressing the probability of false rejection for multiple hypotheses.

Data sources and study setting

Examples from the literature in health services research are used to motivate the discussion of composite hypothesis tests and multiple hypotheses.

Methods

This article is a didactic presentation.

Principal findings

It is not rare to find mistaken inferences in health services research because of inattention to appropriate hypothesis generation and multiple hypotheses testing. Guidelines are presented to help researchers identify composite hypotheses and set significance levels to account for multiple tests.

Conclusions

It is important for the quality of scholarship that inferences are valid: properly identifying composite hypotheses and accounting for multiple tests provides some assurance in this regard.

SUBMITTER: Veazie PJ

PROVIDER: S-EPMC1713204 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature

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Publications

When to combine hypotheses and adjust for multiple tests.

Veazie Peter J PJ

Health services research 20060601 3 Pt 1

<h4>Objective</h4>To provide guidelines for identifying composite hypotheses and addressing the probability of false rejection for multiple hypotheses.<h4>Data sources and study setting</h4>Examples from the literature in health services research are used to motivate the discussion of composite hypothesis tests and multiple hypotheses.<h4>Methods</h4>This article is a didactic presentation.<h4>Principal findings</h4>It is not rare to find mistaken inferences in health services research because o ...[more]

PMID: 16704513

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Dataset Information

When to combine hypotheses and adjust for multiple tests.

Objective

Data sources and study setting

Methods

Principal findings

Conclusions

Publications

When to combine hypotheses and adjust for multiple tests.

Similar Datasets

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