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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Angiologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Angiology
Article . 1989
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Testing Crossover Studies for Carryover Effects

Authors: Ton J. Cleophas;

Testing Crossover Studies for Carryover Effects

Abstract

For the study of cardiovascular disease, for instance, hypertension and angina pectoris, properly de signed crossover studies are to be preferred over parallel-design stud ies. Many statisticians now propose that these studies should always be tested for carryover effects. In the present paper the author analyzes the crossover studies published after No vember, 1985, in two general and two specialist journals (New England Journal of Medicine, Lancet, Angiol ogy, British Heart Journal). Of 73 pa pers only 23 (32%) consider the possi bility of carryover effects. Of these latter papers 12 (16%) perform sta tistical tests for these effects. The results of these tests were shown in only 7 papers (10%). It is concluded that there is a discrepancy between the statistical recommendations and the data presented in the literature.

Keywords

Cardiovascular Diseases, Statistics as Topic, Humans, Epidemiologic Methods

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
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