Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series

Cyclic variations of variables are ubiquitous in biomedical science. A number of methods for detecting rhythms have been developed, but they are often difficult to interpret. A simple procedure for detecting cyclic variations in biological time series and quantification of their probability is prese...

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Autor principal:	Celec,Peter
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2004
Materias:	chronobiology time series method ANORVA analysis of rhythmic variance circaseptan cycle rhyth
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602004000500007
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spelling	oai:scielo:S0716-976020040005000072005-06-01Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time seriesCelec,Peter chronobiology time series method ANORVA analysis of rhythmic variance circaseptan cycle rhyth Cyclic variations of variables are ubiquitous in biomedical science. A number of methods for detecting rhythms have been developed, but they are often difficult to interpret. A simple procedure for detecting cyclic variations in biological time series and quantification of their probability is presented here. Analysis of rhythmic variance (ANORVA) is based on the premise that the variance in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries. A detailed stepwise calculation is presented including data entry and preparation, variance calculating, and difference testing. An example for the application of the procedure is provided, and a real dataset of the number of papers published per day in January 2003 using selected keywords is compared to randomized datasets. Randomized datasets show no cyclic variations. The number of papers published daily, however, shows a clear and significant (p<0.03) circaseptan (period of 7 days) rhythm, probably of social origininfo:eu-repo/semantics/openAccessSociedad de Biología de ChileBiological Research v.37 n.4 suppl.A 20042004-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602004000500007en10.4067/S0716-97602004000500007
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	chronobiology time series method ANORVA analysis of rhythmic variance circaseptan cycle rhyth
spellingShingle	chronobiology time series method ANORVA analysis of rhythmic variance circaseptan cycle rhyth Celec,Peter Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
description	Cyclic variations of variables are ubiquitous in biomedical science. A number of methods for detecting rhythms have been developed, but they are often difficult to interpret. A simple procedure for detecting cyclic variations in biological time series and quantification of their probability is presented here. Analysis of rhythmic variance (ANORVA) is based on the premise that the variance in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries. A detailed stepwise calculation is presented including data entry and preparation, variance calculating, and difference testing. An example for the application of the procedure is provided, and a real dataset of the number of papers published per day in January 2003 using selected keywords is compared to randomized datasets. Randomized datasets show no cyclic variations. The number of papers published daily, however, shows a clear and significant (p<0.03) circaseptan (period of 7 days) rhythm, probably of social origin
author	Celec,Peter
author_facet	Celec,Peter
author_sort	Celec,Peter
title	Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
title_short	Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
title_full	Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
title_fullStr	Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
title_full_unstemmed	Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
title_sort	analysis of rhythmic variance - anorva. a new simple method for detecting rhythms in biological time series
publisher	Sociedad de Biología de Chile
publishDate	2004
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602004000500007
work_keys_str_mv	AT celecpeter analysisofrhythmicvarianceanorvaanewsimplemethodfordetectingrhythmsinbiologicaltimeseries
_version_	1718441381570019328

Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series

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