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A likelihood ratio method for studying the re-entrainment of circadian rhythms.

Authors: T H, Monk;

A likelihood ratio method for studying the re-entrainment of circadian rhythms.

Abstract

A simple technique is described that enables the degree of adaptation at different times of day to be studied in organisms that have been subjected to a sudden change in the Zeitgeber (as typically found in shiftwork or after transmeridian flight). The investigator is thus able to place greater emphasis on some readings than on others and to measure the amount of disruption at a particular time of day (e.g. for an important meeting) rather than to merely rely upon an overall daily measure. The method uses the likelihood ratio statistics which also allows a powerful test to be made of the statistical significance of any apparent adaptation. The method is illustrated on some 'jet-lag' data, where it was able to determine differential rates of adaptation according to the time of day at which the subjects were tested.

Keywords

Adult, Male, Aerospace Medicine, Humans, Models, Psychological, Adaptation, Physiological, Body Temperature, Circadian Rhythm, Probability

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selected citations
These citations are derived from selected sources.
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!
1
Average
Average
Average
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