Stochastic processes defining sensitivity and variability of internally calibrated quantitative NASBA‐based viral load assays
For quantitative assessment of virus particles in patient plasma samples various assays are commercially available. Typical performance characteristics for such assays are sensitivity, precision and the range of linearity. In order to assess these properties it is common practice to divide the range...
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| Veröffentlicht in: | Nucleic acids research 2002-12, Vol.30 (24), p.e137-e137 |
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| container_issue | 24 |
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| container_title | Nucleic acids research |
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| creator | Weusten, Jos J. A. M. Wouters, Pieter A. W. M. van Zuijlen, Martien C. A. van de Wiel, Paul A. |
| description | For quantitative assessment of virus particles in patient plasma samples various assays are commercially available. Typical performance characteristics for such assays are sensitivity, precision and the range of linearity. In order to assess these properties it is common practice to divide the range of inputs into subranges in order to apply different statistical models to evaluate these properties separately. We developed a general statistical model for internally calibrated amplification based viral load assays that combines these statistical properties in one powerful analysis. Based on the model an unambiguous definition of the lower limit of the linear range can be given. The proposed method of analysis was illustrated by a successful application to data generated by the NucliSens EasyQ HIV‐1 assay. |
| doi_str_mv | 10.1093/nar/gnf137 |
| format | Article |
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A. M. ; Wouters, Pieter A. W. M. ; van Zuijlen, Martien C. A. ; van de Wiel, Paul A.</creator><creatorcontrib>Weusten, Jos J. A. M. ; Wouters, Pieter A. W. M. ; van Zuijlen, Martien C. A. ; van de Wiel, Paul A.</creatorcontrib><description>For quantitative assessment of virus particles in patient plasma samples various assays are commercially available. Typical performance characteristics for such assays are sensitivity, precision and the range of linearity. In order to assess these properties it is common practice to divide the range of inputs into subranges in order to apply different statistical models to evaluate these properties separately. We developed a general statistical model for internally calibrated amplification based viral load assays that combines these statistical properties in one powerful analysis. Based on the model an unambiguous definition of the lower limit of the linear range can be given. 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We developed a general statistical model for internally calibrated amplification based viral load assays that combines these statistical properties in one powerful analysis. Based on the model an unambiguous definition of the lower limit of the linear range can be given. The proposed method of analysis was illustrated by a successful application to data generated by the NucliSens EasyQ HIV‐1 assay.</description><subject>HIV-1 - genetics</subject><subject>Humans</subject><subject>Models, Statistical</subject><subject>NAR Methods Online</subject><subject>Reference Standards</subject><subject>RNA, Viral - blood</subject><subject>RNA, Viral - genetics</subject><subject>RNA, Viral - standards</subject><subject>Sensitivity and Specificity</subject><subject>Stochastic Processes</subject><subject>Viral Load - methods</subject><subject>Viral Load - standards</subject><subject>Viral Load - statistics & numerical data</subject><issn>0305-1048</issn><issn>1362-4962</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1uEzEUhUcIRENhwwMgiwULpKH-Hc8sWKQVpagVUAUkxMa647mTukzs1HYisoJH4Bl5EiZKVH42rK6s8x3fY5-ieMzoC0YbceQhHs19z4S-U0yYqHgpm4rfLSZUUFUyKuuD4kFK15QyyZS8XxwwLhuqeT0pvs1ysFeQsrNkGYPFlDCRDnvnnZ-ThD657NYubwj4jqwhOmjdsD2HnjifMXoYhg2xMLg2QsaO3KzAZ5dh9CF5O50dT39-_9FCGqW1izCQIUBHICXYpIfFvR6GhI_287D4ePrqw8lZefHu9ZuT6UVpZdXk0lppUVlhBfa8bRutqp6hBCU62tC6hc72liGvGwnadiB4b5E1tWyV1gpbcVi83N27XLUL7Cz6PCYxy-gWEDcmgDN_K95dmXlYGyYpravR_2zvj-FmhSmbhUsWhwE8hlUymmvd6Ir9F2R1JWvFmxF8-g94HVbbz0yGU1oprvh27fMdZGNIKWJ_m5hRsy3fjOWbXfkj_OTPN_5G922PQLkDXMr49VaH-MVUWmhlzj59NtXl6fnx-9mlORe_APKNwMo</recordid><startdate>20021215</startdate><enddate>20021215</enddate><creator>Weusten, Jos J. 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| source | MEDLINE; Oxford Journals Open Access Collection; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | HIV-1 - genetics Humans Models, Statistical NAR Methods Online Reference Standards RNA, Viral - blood RNA, Viral - genetics RNA, Viral - standards Sensitivity and Specificity Stochastic Processes Viral Load - methods Viral Load - standards Viral Load - statistics & numerical data |
| title | Stochastic processes defining sensitivity and variability of internally calibrated quantitative NASBA‐based viral load assays |
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