Statistical issues in randomized trials of cancer screening

<p>Abstract</p> <p>Background</p> <p>The evaluation of randomized trials for cancer screening involves special statistical considerations not found in therapeutic trials. Although some of these issues have been discussed previously, we present important recent and new m...

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Huvudupphovsmän: Kramer Barnett S, Baker Stuart G, Prorok Philip C
Materialtyp: Artikel
Språk:English
Publicerad: BMC 2002-09-01
Serie:BMC Medical Research Methodology
Länkar:http://www.biomedcentral.com/1471-2288/2/11
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author Kramer Barnett S
Baker Stuart G
Prorok Philip C
author_facet Kramer Barnett S
Baker Stuart G
Prorok Philip C
author_sort Kramer Barnett S
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The evaluation of randomized trials for cancer screening involves special statistical considerations not found in therapeutic trials. Although some of these issues have been discussed previously, we present important recent and new methodologies.</p> <p>Methods</p> <p>Our emphasis is on simple approaches.</p> <p>Results</p> <p>We make the following recommendations:</p> <p>(1) <it>Use death from cancer as the primary endpoint, but review death records carefully and report all causes of death</it></p> <p>(2) <it>Use a simple "causal" estimate to adjust for nonattendance and contamination occurring immediately after randomization</it></p> <p>(3) <it>Use a simple adaptive estimate to adjust for dilution in follow-up after the last screen</it></p> <p>Conclusion</p> <p>The proposed guidelines combine recent methodological work on screening endpoints and noncompliance/contamination with a new adaptive method to adjust for dilution in a study where follow-up continues after the last screen. These guidelines ensure good practice in the design and analysis of randomized trials of cancer screening.</p>
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spelling doaj.art-df26e1a2815e4e1c84e5e7fd9ac7c53c2022-12-22T01:46:42ZengBMCBMC Medical Research Methodology1471-22882002-09-01211110.1186/1471-2288-2-11Statistical issues in randomized trials of cancer screeningKramer Barnett SBaker Stuart GProrok Philip C<p>Abstract</p> <p>Background</p> <p>The evaluation of randomized trials for cancer screening involves special statistical considerations not found in therapeutic trials. Although some of these issues have been discussed previously, we present important recent and new methodologies.</p> <p>Methods</p> <p>Our emphasis is on simple approaches.</p> <p>Results</p> <p>We make the following recommendations:</p> <p>(1) <it>Use death from cancer as the primary endpoint, but review death records carefully and report all causes of death</it></p> <p>(2) <it>Use a simple "causal" estimate to adjust for nonattendance and contamination occurring immediately after randomization</it></p> <p>(3) <it>Use a simple adaptive estimate to adjust for dilution in follow-up after the last screen</it></p> <p>Conclusion</p> <p>The proposed guidelines combine recent methodological work on screening endpoints and noncompliance/contamination with a new adaptive method to adjust for dilution in a study where follow-up continues after the last screen. These guidelines ensure good practice in the design and analysis of randomized trials of cancer screening.</p>http://www.biomedcentral.com/1471-2288/2/11
spellingShingle Kramer Barnett S
Baker Stuart G
Prorok Philip C
Statistical issues in randomized trials of cancer screening
BMC Medical Research Methodology
title Statistical issues in randomized trials of cancer screening
title_full Statistical issues in randomized trials of cancer screening
title_fullStr Statistical issues in randomized trials of cancer screening
title_full_unstemmed Statistical issues in randomized trials of cancer screening
title_short Statistical issues in randomized trials of cancer screening
title_sort statistical issues in randomized trials of cancer screening
url http://www.biomedcentral.com/1471-2288/2/11
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AT bakerstuartg statisticalissuesinrandomizedtrialsofcancerscreening
AT prorokphilipc statisticalissuesinrandomizedtrialsofcancerscreening