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Can cancer researchers accurately judge whether preclinical reports will reproduce?
There is vigorous debate about the reproducibility of research findings in cancer biology. Whether scientists can accurately assess which experiments will reproduce original findings is important to determining the pace at which science self-corrects. We collected forecasts from basic and preclinica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5490935/ https://www.ncbi.nlm.nih.gov/pubmed/28662052 http://dx.doi.org/10.1371/journal.pbio.2002212 |
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author | Benjamin, Daniel Mandel, David R. Kimmelman, Jonathan |
author_facet | Benjamin, Daniel Mandel, David R. Kimmelman, Jonathan |
author_sort | Benjamin, Daniel |
collection | PubMed |
description | There is vigorous debate about the reproducibility of research findings in cancer biology. Whether scientists can accurately assess which experiments will reproduce original findings is important to determining the pace at which science self-corrects. We collected forecasts from basic and preclinical cancer researchers on the first 6 replication studies conducted by the Reproducibility Project: Cancer Biology (RP:CB) to assess the accuracy of expert judgments on specific replication outcomes. On average, researchers forecasted a 75% probability of replicating the statistical significance and a 50% probability of replicating the effect size, yet none of these studies successfully replicated on either criterion (for the 5 studies with results reported). Accuracy was related to expertise: experts with higher h-indices were more accurate, whereas experts with more topic-specific expertise were less accurate. Our findings suggest that experts, especially those with specialized knowledge, were overconfident about the RP:CB replicating individual experiments within published reports; researcher optimism likely reflects a combination of overestimating the validity of original studies and underestimating the difficulties of repeating their methodologies. |
format | Online Article Text |
id | pubmed-5490935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54909352017-07-18 Can cancer researchers accurately judge whether preclinical reports will reproduce? Benjamin, Daniel Mandel, David R. Kimmelman, Jonathan PLoS Biol Meta-Research Article There is vigorous debate about the reproducibility of research findings in cancer biology. Whether scientists can accurately assess which experiments will reproduce original findings is important to determining the pace at which science self-corrects. We collected forecasts from basic and preclinical cancer researchers on the first 6 replication studies conducted by the Reproducibility Project: Cancer Biology (RP:CB) to assess the accuracy of expert judgments on specific replication outcomes. On average, researchers forecasted a 75% probability of replicating the statistical significance and a 50% probability of replicating the effect size, yet none of these studies successfully replicated on either criterion (for the 5 studies with results reported). Accuracy was related to expertise: experts with higher h-indices were more accurate, whereas experts with more topic-specific expertise were less accurate. Our findings suggest that experts, especially those with specialized knowledge, were overconfident about the RP:CB replicating individual experiments within published reports; researcher optimism likely reflects a combination of overestimating the validity of original studies and underestimating the difficulties of repeating their methodologies. Public Library of Science 2017-06-29 /pmc/articles/PMC5490935/ /pubmed/28662052 http://dx.doi.org/10.1371/journal.pbio.2002212 Text en © 2017 Benjamin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Meta-Research Article Benjamin, Daniel Mandel, David R. Kimmelman, Jonathan Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title | Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title_full | Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title_fullStr | Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title_full_unstemmed | Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title_short | Can cancer researchers accurately judge whether preclinical reports will reproduce? |
title_sort | can cancer researchers accurately judge whether preclinical reports will reproduce? |
topic | Meta-Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5490935/ https://www.ncbi.nlm.nih.gov/pubmed/28662052 http://dx.doi.org/10.1371/journal.pbio.2002212 |
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