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Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies

The simulation study investigated the relationship between the local linear trend model’s data-comparison accuracy, baseline-data variability, and changes in level and slope after introducing the N-of-1 intervention. Contour maps were constructed, which included baseline-data variability, change in...

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Autores principales: Suzuki, Makoto, Tanaka, Satoshi, Saito, Kazuo, Cho, Kilchoon, Iso, Naoki, Okabe, Takuhiro, Suzuki, Takako, Yamamoto, Junichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219212/
https://www.ncbi.nlm.nih.gov/pubmed/37240890
http://dx.doi.org/10.3390/jpm13050720
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author Suzuki, Makoto
Tanaka, Satoshi
Saito, Kazuo
Cho, Kilchoon
Iso, Naoki
Okabe, Takuhiro
Suzuki, Takako
Yamamoto, Junichi
author_facet Suzuki, Makoto
Tanaka, Satoshi
Saito, Kazuo
Cho, Kilchoon
Iso, Naoki
Okabe, Takuhiro
Suzuki, Takako
Yamamoto, Junichi
author_sort Suzuki, Makoto
collection PubMed
description The simulation study investigated the relationship between the local linear trend model’s data-comparison accuracy, baseline-data variability, and changes in level and slope after introducing the N-of-1 intervention. Contour maps were constructed, which included baseline-data variability, change in level or slope, and percentage of non-overlapping data between the state and forecast values by the local linear trend model. Simulation results showed that baseline-data variability and changes in level and slope after intervention affect the data-comparison accuracy based on the local linear trend model. The field study investigated the intervention effects for actual field data using the local linear trend model, which confirmed 100% effectiveness of previous N-of-1 studies. These results imply that baseline-data variability affects the data-comparison accuracy using a local linear trend model, which could accurately predict the intervention effects. The local linear trend model may help assess the intervention effects of effective personalized interventions in precision rehabilitation.
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spelling pubmed-102192122023-05-27 Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies Suzuki, Makoto Tanaka, Satoshi Saito, Kazuo Cho, Kilchoon Iso, Naoki Okabe, Takuhiro Suzuki, Takako Yamamoto, Junichi J Pers Med Article The simulation study investigated the relationship between the local linear trend model’s data-comparison accuracy, baseline-data variability, and changes in level and slope after introducing the N-of-1 intervention. Contour maps were constructed, which included baseline-data variability, change in level or slope, and percentage of non-overlapping data between the state and forecast values by the local linear trend model. Simulation results showed that baseline-data variability and changes in level and slope after intervention affect the data-comparison accuracy based on the local linear trend model. The field study investigated the intervention effects for actual field data using the local linear trend model, which confirmed 100% effectiveness of previous N-of-1 studies. These results imply that baseline-data variability affects the data-comparison accuracy using a local linear trend model, which could accurately predict the intervention effects. The local linear trend model may help assess the intervention effects of effective personalized interventions in precision rehabilitation. MDPI 2023-04-24 /pmc/articles/PMC10219212/ /pubmed/37240890 http://dx.doi.org/10.3390/jpm13050720 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Suzuki, Makoto
Tanaka, Satoshi
Saito, Kazuo
Cho, Kilchoon
Iso, Naoki
Okabe, Takuhiro
Suzuki, Takako
Yamamoto, Junichi
Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title_full Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title_fullStr Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title_full_unstemmed Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title_short Baseline Variability Affects N-of-1 Intervention Effect: Simulation and Field Studies
title_sort baseline variability affects n-of-1 intervention effect: simulation and field studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219212/
https://www.ncbi.nlm.nih.gov/pubmed/37240890
http://dx.doi.org/10.3390/jpm13050720
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