Analysis of rhythmic variance - ANORVA. A new simple method for detecting rhythms in biological time series
Biol. Res
; 37(4,supl.A): 777-782, 2004. graf
Article
em En
| LILACS
| ID: lil-399657
Biblioteca responsável:
CL1.1
ABSTRACT
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.
Texto completo:
1
Índice:
LILACS
Assunto principal:
Ritmo Circadiano
/
Modelos Biológicos
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Limite:
Female
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Humans
/
Male
Idioma:
En
Revista:
Biol. Res
Assunto da revista:
BIOLOGIA
Ano de publicação:
2004
Tipo de documento:
Article
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Project document