Chronobiological data analysis based on a bioequivalence analogue statistical approach

Chronobiological rhythms gain increasing relevance in experimental biology and clinical medicine. To detect underlying rhythms and to illustrate the result are important issues of rhythmometry. A new statistical approach based on bioequivalence testing (crossover analysis) in clinical pharmacology i...

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Bibliographic Details
Published inBiological rhythm research Vol. 43; no. 3; pp. 279 - 284
Main Author Koch, Horst J
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.06.2012
Subjects
acceptance limits
biological rhythm
Biological Sciences
confidence limits
drug evaluation
medicine
ratio of means
rhythmometry
time series analysis
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Summary:Chronobiological rhythms gain increasing relevance in experimental biology and clinical medicine. To detect underlying rhythms and to illustrate the result are important issues of rhythmometry. A new statistical approach based on bioequivalence testing (crossover analysis) in clinical pharmacology is proposed for single time series. With regard to the mean of a reference time (μr) and means of values (μ1, μ2, etc.) of subsequent times (t1, t2, etc.) ratios and 90% confidence limits are calculated. Log-transformed data are used in case of log-normal distribution. A chronobiological rhythm is supposed, if the 90% confidence limits lie outside the acceptance limits that are generally supposed to be ± 20%.
Bibliography:http://dx.doi.org/10.1080/09291016.2011.571028
ISSN:1744-4179
0929-1016
1744-4179
DOI:10.1080/09291016.2011.571028