Analysis of circadian rhythms by fitting a least squares sine curve
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.
Gespeichert in:
| Veröffentlicht in: | Computers in biology and medicine 1984, Vol.14 (2), p.217-223 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 223 |
|---|---|
| container_issue | 2 |
| container_start_page | 217 |
| container_title | Computers in biology and medicine |
| container_volume | 14 |
| creator | Hickey, D.S. Kirkland, J.L. Lucas, S.B. Lye, M. |
| description | 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. |
| doi_str_mv | 10.1016/0010-4825(84)90008-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_81071116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>0010482584900088</els_id><sourcerecordid>81071116</sourcerecordid><originalsourceid>FETCH-LOGICAL-c386t-9baf4188d799c1a99cc7507adefdfa70ba77193830e8a2337b63d20207376e9f3</originalsourceid><addsrcrecordid>eNp9kE1r3DAQhkVJSTYf_yAFHUJoD25HlleSL4GwNE0g0Et7FmN5lKh47URjB_bfx9td9pjLzGGe92V4hLhU8F2BMj8AFBSVK5dfXfWtBgBXuE9ioZytC1jq6kgsDsiJOGX-NzMVaDgWx8aWujR2IVa3PXYbTiyHKEPKAduEvczPm_F5zbLZyJjGMfVPEmVHyKPk1wkzseTUkwxTfqNz8Tlix3Sx32fi793PP6v74vH3r4fV7WMRtDNjUTcYK-Vca-s6KJxHsEuw2FJsI1po0FpVa6eBHJZa28botoQSrLaG6qjPxPWu9yUPrxPx6NeJA3Ud9jRM7J0Cq5QyM1jtwJAH5kzRv-S0xrzxCvzWnd-K8Vsx3lX-vzvv5tiXff_UrKk9hPay5vvV_o4csIsZ-5D4gNVGQ2XKGbvZYTS7eEuUPYdEfaA2ZQqjb4f08R_vWvaJcA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>81071116</pqid></control><display><type>article</type><title>Analysis of circadian rhythms by fitting a least squares sine curve</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><source>MEDLINE</source><creator>Hickey, D.S. ; Kirkland, J.L. ; Lucas, S.B. ; Lye, M.</creator><creatorcontrib>Hickey, D.S. ; Kirkland, J.L. ; Lucas, S.B. ; Lye, M.</creatorcontrib><description>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.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/0010-4825(84)90008-8</identifier><identifier>PMID: 6723267</identifier><identifier>CODEN: CBMDAW</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aged ; Biological and medical sciences ; Circadian ; Circadian Rhythm ; Computerized, statistical medical data processing and models in biomedicine ; Female ; Humans ; Integrated ; Least-squares ; Medical sciences ; Medical statistics ; Potassium - urine ; Rhythm ; Sinusoidal ; Statistics as Topic ; Time Factors ; Time-series</subject><ispartof>Computers in biology and medicine, 1984, Vol.14 (2), p.217-223</ispartof><rights>1984</rights><rights>1984 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-9baf4188d799c1a99cc7507adefdfa70ba77193830e8a2337b63d20207376e9f3</citedby><cites>FETCH-LOGICAL-c386t-9baf4188d799c1a99cc7507adefdfa70ba77193830e8a2337b63d20207376e9f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/0010-4825(84)90008-8$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,4023,27922,27923,27924,45994</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=9630462$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/6723267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hickey, D.S.</creatorcontrib><creatorcontrib>Kirkland, J.L.</creatorcontrib><creatorcontrib>Lucas, S.B.</creatorcontrib><creatorcontrib>Lye, M.</creatorcontrib><title>Analysis of circadian rhythms by fitting a least squares sine curve</title><title>Computers in biology and medicine</title><addtitle>Comput Biol Med</addtitle><description>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.</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Circadian</subject><subject>Circadian Rhythm</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Female</subject><subject>Humans</subject><subject>Integrated</subject><subject>Least-squares</subject><subject>Medical sciences</subject><subject>Medical statistics</subject><subject>Potassium - urine</subject><subject>Rhythm</subject><subject>Sinusoidal</subject><subject>Statistics as Topic</subject><subject>Time Factors</subject><subject>Time-series</subject><issn>0010-4825</issn><issn>1879-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1984</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1r3DAQhkVJSTYf_yAFHUJoD25HlleSL4GwNE0g0Et7FmN5lKh47URjB_bfx9td9pjLzGGe92V4hLhU8F2BMj8AFBSVK5dfXfWtBgBXuE9ioZytC1jq6kgsDsiJOGX-NzMVaDgWx8aWujR2IVa3PXYbTiyHKEPKAduEvczPm_F5zbLZyJjGMfVPEmVHyKPk1wkzseTUkwxTfqNz8Tlix3Sx32fi793PP6v74vH3r4fV7WMRtDNjUTcYK-Vca-s6KJxHsEuw2FJsI1po0FpVa6eBHJZa28botoQSrLaG6qjPxPWu9yUPrxPx6NeJA3Ud9jRM7J0Cq5QyM1jtwJAH5kzRv-S0xrzxCvzWnd-K8Vsx3lX-vzvv5tiXff_UrKk9hPay5vvV_o4csIsZ-5D4gNVGQ2XKGbvZYTS7eEuUPYdEfaA2ZQqjb4f08R_vWvaJcA</recordid><startdate>1984</startdate><enddate>1984</enddate><creator>Hickey, D.S.</creator><creator>Kirkland, J.L.</creator><creator>Lucas, S.B.</creator><creator>Lye, M.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>1984</creationdate><title>Analysis of circadian rhythms by fitting a least squares sine curve</title><author>Hickey, D.S. ; Kirkland, J.L. ; Lucas, S.B. ; Lye, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-9baf4188d799c1a99cc7507adefdfa70ba77193830e8a2337b63d20207376e9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1984</creationdate><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Circadian</topic><topic>Circadian Rhythm</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Female</topic><topic>Humans</topic><topic>Integrated</topic><topic>Least-squares</topic><topic>Medical sciences</topic><topic>Medical statistics</topic><topic>Potassium - urine</topic><topic>Rhythm</topic><topic>Sinusoidal</topic><topic>Statistics as Topic</topic><topic>Time Factors</topic><topic>Time-series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hickey, D.S.</creatorcontrib><creatorcontrib>Kirkland, J.L.</creatorcontrib><creatorcontrib>Lucas, S.B.</creatorcontrib><creatorcontrib>Lye, M.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computers in biology and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hickey, D.S.</au><au>Kirkland, J.L.</au><au>Lucas, S.B.</au><au>Lye, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of circadian rhythms by fitting a least squares sine curve</atitle><jtitle>Computers in biology and medicine</jtitle><addtitle>Comput Biol Med</addtitle><date>1984</date><risdate>1984</risdate><volume>14</volume><issue>2</issue><spage>217</spage><epage>223</epage><pages>217-223</pages><issn>0010-4825</issn><eissn>1879-0534</eissn><coden>CBMDAW</coden><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.</abstract><cop>Oxford</cop><cop>New York, NY</cop><pub>Elsevier Ltd</pub><pmid>6723267</pmid><doi>10.1016/0010-4825(84)90008-8</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0010-4825 |
| ispartof | Computers in biology and medicine, 1984, Vol.14 (2), p.217-223 |
| issn | 0010-4825 1879-0534 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_81071116 |
| source | Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE |
| subjects | Aged Biological and medical sciences Circadian Circadian Rhythm Computerized, statistical medical data processing and models in biomedicine Female Humans Integrated Least-squares Medical sciences Medical statistics Potassium - urine Rhythm Sinusoidal Statistics as Topic Time Factors Time-series |
| title | Analysis of circadian rhythms by fitting a least squares sine curve |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T12%3A00%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20circadian%20rhythms%20by%20fitting%20a%20least%20squares%20sine%20curve&rft.jtitle=Computers%20in%20biology%20and%20medicine&rft.au=Hickey,%20D.S.&rft.date=1984&rft.volume=14&rft.issue=2&rft.spage=217&rft.epage=223&rft.pages=217-223&rft.issn=0010-4825&rft.eissn=1879-0534&rft.coden=CBMDAW&rft_id=info:doi/10.1016/0010-4825(84)90008-8&rft_dat=%3Cproquest_cross%3E81071116%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=81071116&rft_id=info:pmid/6723267&rft_els_id=0010482584900088&rfr_iscdi=true |