Efficient exponential regression with exact fiducial limits to fit cardiac pressure data
Many observations in the biological field can adequately be fitted to an exponential regression equation, commonly in the form y = α + βe γN . However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental d...
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| Veröffentlicht in: | Computer methods and programs in biomedicine 1997-05, Vol.53 (1), p.57-64 |
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| container_title | Computer methods and programs in biomedicine |
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| creator | Langer, Stefan F.J. |
| description | Many observations in the biological field can adequately be fitted to an exponential regression equation, commonly in the form
y =
α +
βe
γN
. However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental data obtained from ventricular pressure measurements in isolated working small animal hearts. A subroutine based on this algorithm is written in Borland's Turbo-Pascal but easily portable to other languages. |
| doi_str_mv | 10.1016/S0169-2607(97)01802-6 |
| format | Article |
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. However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental data obtained from ventricular pressure measurements in isolated working small animal hearts. A subroutine based on this algorithm is written in Borland's Turbo-Pascal but easily portable to other languages.</description><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/S0169-2607(97)01802-6</identifier><identifier>PMID: 9113468</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Algorithms ; Computer program ; Curve-fitting ; Heart - physiology ; Humans ; Myocardial contraction ; Non-linear regression ; Regression Analysis ; Software ; Ventricular Pressure</subject><ispartof>Computer methods and programs in biomedicine, 1997-05, Vol.53 (1), p.57-64</ispartof><rights>1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-79fe28435f95c702701079ff26dac8636c8e81ce1707af0190789c7340f49d253</citedby><cites>FETCH-LOGICAL-c422t-79fe28435f95c702701079ff26dac8636c8e81ce1707af0190789c7340f49d253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0169-2607(97)01802-6$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9113468$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Langer, Stefan F.J.</creatorcontrib><title>Efficient exponential regression with exact fiducial limits to fit cardiac pressure data</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>Many observations in the biological field can adequately be fitted to an exponential regression equation, commonly in the form
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α +
βe
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y =
α +
βe
γN
. However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental data obtained from ventricular pressure measurements in isolated working small animal hearts. A subroutine based on this algorithm is written in Borland's Turbo-Pascal but easily portable to other languages.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>9113468</pmid><doi>10.1016/S0169-2607(97)01802-6</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Computer methods and programs in biomedicine, 1997-05, Vol.53 (1), p.57-64 |
| issn | 0169-2607 1872-7565 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_78937279 |
| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Algorithms Computer program Curve-fitting Heart - physiology Humans Myocardial contraction Non-linear regression Regression Analysis Software Ventricular Pressure |
| title | Efficient exponential regression with exact fiducial limits to fit cardiac pressure data |
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