Participant followup rate can bias structural imaging measures in longitudinal studies
Longitudinal MRI analysis is essential to accurately describe neuroanatomical changes over time. Loss of participants to followup (dropout) in longitudinal studies is inevitable and can lead to great difficulty in interpretation of statistical results if dropout is correlated with a study outcome or...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Elsevier
2021
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| Accès en ligne: | https://doaj.org/article/616c0121afff4b5bb1c179caa5c91144 |
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