Why validation of prognostic models matters?

Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Radiotherapy and oncology 2018-06, Vol.127 (3), p.370-373
Hauptverfasser: Zwanenburg, Alex, Löck, Steffen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 373
container_issue 3
container_start_page 370
container_title Radiotherapy and oncology
container_volume 127
creator Zwanenburg, Alex
Löck, Steffen
description Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.
doi_str_mv 10.1016/j.radonc.2018.03.004
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2020482324</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0167814018301361</els_id><sourcerecordid>2020482324</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-8ac864fec73a7aec2a5d9334e9fda98a96674fd76d2bd76d6a5ab8159a83b7ea3</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EoqXwBwhlyYIEP5LY2YBQxUuqxAbE0prYE3CVxGCnlfr3pGphyWZmc-48DiHnjGaMsvJ6mQWwvjcZp0xlVGSU5gdkypSsUqqUPCTTEZOpYjmdkJMYl5RSToU8JhNeFZVSopiSq_fPTbKG1lkYnO8T3yRfwX_0Pg7OJJ232Makg2HAEG9PyVEDbcSzfZ-Rt4f71_lTunh5fJ7fLVIjSj6kCowq8waNFCABDYfCVkLkWDUWKgVVWcq8sbK0vN7WEgqoFSsqUKKWCGJGLndzx1O-VxgH3blosG2hR7-Kmo9_5IoLno9ovkNN8DEGbPRXcB2EjWZUbz3ppd550ltPmgo9ehpjF_sNq7pD-xf6FTMCNztg_B_XDoOOxmFv0LqAZtDWu_83_AA7yXr_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2020482324</pqid></control><display><type>article</type><title>Why validation of prognostic models matters?</title><source>Elsevier ScienceDirect Journals</source><creator>Zwanenburg, Alex ; Löck, Steffen</creator><creatorcontrib>Zwanenburg, Alex ; Löck, Steffen</creatorcontrib><description>Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.</description><identifier>ISSN: 0167-8140</identifier><identifier>EISSN: 1879-0887</identifier><identifier>DOI: 10.1016/j.radonc.2018.03.004</identifier><identifier>PMID: 29598835</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Biomarkers ; Prognostic models ; TRIPOD ; Validation</subject><ispartof>Radiotherapy and oncology, 2018-06, Vol.127 (3), p.370-373</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-8ac864fec73a7aec2a5d9334e9fda98a96674fd76d2bd76d6a5ab8159a83b7ea3</citedby><cites>FETCH-LOGICAL-c362t-8ac864fec73a7aec2a5d9334e9fda98a96674fd76d2bd76d6a5ab8159a83b7ea3</cites><orcidid>0000-0002-0342-9545</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167814018301361$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29598835$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zwanenburg, Alex</creatorcontrib><creatorcontrib>Löck, Steffen</creatorcontrib><title>Why validation of prognostic models matters?</title><title>Radiotherapy and oncology</title><addtitle>Radiother Oncol</addtitle><description>Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.</description><subject>Biomarkers</subject><subject>Prognostic models</subject><subject>TRIPOD</subject><subject>Validation</subject><issn>0167-8140</issn><issn>1879-0887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EoqXwBwhlyYIEP5LY2YBQxUuqxAbE0prYE3CVxGCnlfr3pGphyWZmc-48DiHnjGaMsvJ6mQWwvjcZp0xlVGSU5gdkypSsUqqUPCTTEZOpYjmdkJMYl5RSToU8JhNeFZVSopiSq_fPTbKG1lkYnO8T3yRfwX_0Pg7OJJ232Makg2HAEG9PyVEDbcSzfZ-Rt4f71_lTunh5fJ7fLVIjSj6kCowq8waNFCABDYfCVkLkWDUWKgVVWcq8sbK0vN7WEgqoFSsqUKKWCGJGLndzx1O-VxgH3blosG2hR7-Kmo9_5IoLno9ovkNN8DEGbPRXcB2EjWZUbz3ppd550ltPmgo9ehpjF_sNq7pD-xf6FTMCNztg_B_XDoOOxmFv0LqAZtDWu_83_AA7yXr_</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Zwanenburg, Alex</creator><creator>Löck, Steffen</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0342-9545</orcidid></search><sort><creationdate>20180601</creationdate><title>Why validation of prognostic models matters?</title><author>Zwanenburg, Alex ; Löck, Steffen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-8ac864fec73a7aec2a5d9334e9fda98a96674fd76d2bd76d6a5ab8159a83b7ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomarkers</topic><topic>Prognostic models</topic><topic>TRIPOD</topic><topic>Validation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zwanenburg, Alex</creatorcontrib><creatorcontrib>Löck, Steffen</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Radiotherapy and oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zwanenburg, Alex</au><au>Löck, Steffen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Why validation of prognostic models matters?</atitle><jtitle>Radiotherapy and oncology</jtitle><addtitle>Radiother Oncol</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>127</volume><issue>3</issue><spage>370</spage><epage>373</epage><pages>370-373</pages><issn>0167-8140</issn><eissn>1879-0887</eissn><abstract>Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>29598835</pmid><doi>10.1016/j.radonc.2018.03.004</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-0342-9545</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0167-8140
ispartof Radiotherapy and oncology, 2018-06, Vol.127 (3), p.370-373
issn 0167-8140
1879-0887
language eng
recordid cdi_proquest_miscellaneous_2020482324
source Elsevier ScienceDirect Journals
subjects Biomarkers
Prognostic models
TRIPOD
Validation
title Why validation of prognostic models matters?
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T18%3A36%3A33IST&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=Why%20validation%20of%20prognostic%20models%20matters?&rft.jtitle=Radiotherapy%20and%20oncology&rft.au=Zwanenburg,%20Alex&rft.date=2018-06-01&rft.volume=127&rft.issue=3&rft.spage=370&rft.epage=373&rft.pages=370-373&rft.issn=0167-8140&rft.eissn=1879-0887&rft_id=info:doi/10.1016/j.radonc.2018.03.004&rft_dat=%3Cproquest_cross%3E2020482324%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=2020482324&rft_id=info:pmid/29598835&rft_els_id=S0167814018301361&rfr_iscdi=true