Analysis of circadian rhythms by fitting a least squares sine curve

D. S. Hickey; J. L. Kirkland; S. B. Lucas; M. Lye

doi:10.1016/0010-4825(84)90008-8

Analysis of circadian rhythms by fitting a least squares sine curve

D. S. Hickey, J. L. Kirkland, S. B. Lucas, M. Lye

General Internal Medicine

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.

Original language	English (US)
Pages (from-to)	217-223
Number of pages	7
Journal	Computers in Biology and Medicine
Volume	14
Issue number	2
DOIs	https://doi.org/10.1016/0010-4825(84)90008-8
State	Published - 1984

Keywords

Circadian
Integrated
Least-squares
Rhythm
Sinusoidal
Time-series

ASJC Scopus subject areas

Computer Science Applications
Health Informatics

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10.1016/0010-4825(84)90008-8

Cite this

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title = "Analysis of circadian rhythms by fitting a least squares sine curve",

abstract = "A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current {"}cosinor{"} approach. Developments include estimation of the linear trend and fitting secondary wave forms.",

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author = "Hickey, {D. S.} and Kirkland, {J. L.} and Lucas, {S. B.} and M. Lye",

year = "1984",

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T1 - Analysis of circadian rhythms by fitting a least squares sine curve

AU - Hickey, D. S.

AU - Kirkland, J. L.

AU - Lucas, S. B.

AU - Lye, M.

PY - 1984

Y1 - 1984

N2 - A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.

AB - A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.

KW - Circadian

KW - Integrated

KW - Least-squares

KW - Rhythm

KW - Sinusoidal

KW - Time-series

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JO - Computers in Biology and Medicine

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IS - 2

ER -

Analysis of circadian rhythms by fitting a least squares sine curve

Abstract

Keywords

ASJC Scopus subject areas

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