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Importance of Block Randomization When Designing Proteomics Experiments
[Image: see text] Randomization is used in experimental design to reduce the prevalence of unanticipated confounders. Complete randomization can however create imbalanced designs, for example, grouping all samples of the same condition in the same batch. Block randomization is an approach that can p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786377/ https://www.ncbi.nlm.nih.gov/pubmed/32969222 http://dx.doi.org/10.1021/acs.jproteome.0c00536 |
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author | Burger, Bram Vaudel, Marc Barsnes, Harald |
author_facet | Burger, Bram Vaudel, Marc Barsnes, Harald |
author_sort | Burger, Bram |
collection | PubMed |
description | [Image: see text] Randomization is used in experimental design to reduce the prevalence of unanticipated confounders. Complete randomization can however create imbalanced designs, for example, grouping all samples of the same condition in the same batch. Block randomization is an approach that can prevent severe imbalances in sample allocation with respect to both known and unknown confounders. This feature provides the reader with an introduction to blocking and randomization, and insights into how to effectively organize samples during experimental design, with special considerations with respect to proteomics. |
format | Online Article Text |
id | pubmed-7786377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-77863772021-01-07 Importance of Block Randomization When Designing Proteomics Experiments Burger, Bram Vaudel, Marc Barsnes, Harald J Proteome Res [Image: see text] Randomization is used in experimental design to reduce the prevalence of unanticipated confounders. Complete randomization can however create imbalanced designs, for example, grouping all samples of the same condition in the same batch. Block randomization is an approach that can prevent severe imbalances in sample allocation with respect to both known and unknown confounders. This feature provides the reader with an introduction to blocking and randomization, and insights into how to effectively organize samples during experimental design, with special considerations with respect to proteomics. American Chemical Society 2020-09-21 2021-01-01 /pmc/articles/PMC7786377/ /pubmed/32969222 http://dx.doi.org/10.1021/acs.jproteome.0c00536 Text en This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Burger, Bram Vaudel, Marc Barsnes, Harald Importance of Block Randomization When Designing Proteomics Experiments |
title | Importance of
Block Randomization When Designing Proteomics
Experiments |
title_full | Importance of
Block Randomization When Designing Proteomics
Experiments |
title_fullStr | Importance of
Block Randomization When Designing Proteomics
Experiments |
title_full_unstemmed | Importance of
Block Randomization When Designing Proteomics
Experiments |
title_short | Importance of
Block Randomization When Designing Proteomics
Experiments |
title_sort | importance of
block randomization when designing proteomics
experiments |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786377/ https://www.ncbi.nlm.nih.gov/pubmed/32969222 http://dx.doi.org/10.1021/acs.jproteome.0c00536 |
work_keys_str_mv | AT burgerbram importanceofblockrandomizationwhendesigningproteomicsexperiments AT vaudelmarc importanceofblockrandomizationwhendesigningproteomicsexperiments AT barsnesharald importanceofblockrandomizationwhendesigningproteomicsexperiments |