We need to talk about reliability: making better use of test-retest studies for study design and interpretation

Neuroimaging, in addition to many other fields of clinical research, is both time-consuming and expensive, and recruitable patients can be scarce. These constraints limit the possibility of large-sample experimental designs, and often lead to statistically underpowered studies. This problem is exace...

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Main Author: Granville J. Matheson
Format: Article
Language:English
Published: PeerJ Inc. 2019-05-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6918.pdf
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author Granville J. Matheson
author_facet Granville J. Matheson
author_sort Granville J. Matheson
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description Neuroimaging, in addition to many other fields of clinical research, is both time-consuming and expensive, and recruitable patients can be scarce. These constraints limit the possibility of large-sample experimental designs, and often lead to statistically underpowered studies. This problem is exacerbated by the use of outcome measures whose accuracy is sometimes insufficient to answer the scientific questions posed. Reliability is usually assessed in validation studies using healthy participants, however these results are often not easily applicable to clinical studies examining different populations. I present a new method and tools for using summary statistics from previously published test-retest studies to approximate the reliability of outcomes in new samples. In this way, the feasibility of a new study can be assessed during planning stages, and before collecting any new data. An R package called relfeas also accompanies this article for performing these calculations. In summary, these methods and tools will allow researchers to avoid performing costly studies which are, by virtue of their design, unlikely to yield informative conclusions.
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spelling doaj.art-15f11e3f27544ec59f1cc80e3f6872572023-12-03T11:10:57ZengPeerJ Inc.PeerJ2167-83592019-05-017e691810.7717/peerj.6918We need to talk about reliability: making better use of test-retest studies for study design and interpretationGranville J. Matheson0Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, SwedenNeuroimaging, in addition to many other fields of clinical research, is both time-consuming and expensive, and recruitable patients can be scarce. These constraints limit the possibility of large-sample experimental designs, and often lead to statistically underpowered studies. This problem is exacerbated by the use of outcome measures whose accuracy is sometimes insufficient to answer the scientific questions posed. Reliability is usually assessed in validation studies using healthy participants, however these results are often not easily applicable to clinical studies examining different populations. I present a new method and tools for using summary statistics from previously published test-retest studies to approximate the reliability of outcomes in new samples. In this way, the feasibility of a new study can be assessed during planning stages, and before collecting any new data. An R package called relfeas also accompanies this article for performing these calculations. In summary, these methods and tools will allow researchers to avoid performing costly studies which are, by virtue of their design, unlikely to yield informative conclusions.https://peerj.com/articles/6918.pdfReliabilityPositron Emission TomographyNeuroimagingStudy designR packagePower analysis
spellingShingle Granville J. Matheson
We need to talk about reliability: making better use of test-retest studies for study design and interpretation
PeerJ
Reliability
Positron Emission Tomography
Neuroimaging
Study design
R package
Power analysis
title We need to talk about reliability: making better use of test-retest studies for study design and interpretation
title_full We need to talk about reliability: making better use of test-retest studies for study design and interpretation
title_fullStr We need to talk about reliability: making better use of test-retest studies for study design and interpretation
title_full_unstemmed We need to talk about reliability: making better use of test-retest studies for study design and interpretation
title_short We need to talk about reliability: making better use of test-retest studies for study design and interpretation
title_sort we need to talk about reliability making better use of test retest studies for study design and interpretation
topic Reliability
Positron Emission Tomography
Neuroimaging
Study design
R package
Power analysis
url https://peerj.com/articles/6918.pdf
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