Corrected analysis of "the effects of bright light treatment on affective symptoms in people with dementia: a 24-week cluster randomized controlled trial" that accounts for clustering and nesting verifies conclusions.


Journal

BMC psychiatry
ISSN: 1471-244X
Titre abrégé: BMC Psychiatry
Pays: England
ID NLM: 100968559

Informations de publication

Date de publication:
20 09 2023
Historique:
received: 04 05 2023
accepted: 11 09 2023
medline: 22 9 2023
pubmed: 21 9 2023
entrez: 20 9 2023
Statut: epublish

Résumé

In this correspondence, we explain the reasoning for invalidity of the analysis choices by Kolberg et al., and provide the results produced using correct statistical procedures for their study design. Reassuringly, we could verify the original conclusions. That is, results of the corrected statistical models are similar to the results of the original analysis. Regardless of the magnitude of difference that corrected statistical methods make, results and conclusions that are derived from invalid methods are unsubstantiated. By verifying the results, we allow the readers to be assured that the published conclusions in the study by Kolberg et al. now rest on a sound evidential basis.

Identifiants

pubmed: 37730572
doi: 10.1186/s12888-023-05180-2
pii: 10.1186/s12888-023-05180-2
pmc: PMC10510221
doi:

Types de publication

Randomized Controlled Trial Letter Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

683

Subventions

Organisme : NIDDK NIH HHS
ID : R25 DK099080
Pays : United States
Organisme : NHLBI NIH HHS
ID : R25 HL124208
Pays : United States
Organisme : NIA NIH HHS
ID : U24 AG056053
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG050886
Pays : United States

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

Références

Kolberg E, Hjetland GJ, Thun E, Pallesen S, Nordhus IH, Husebo BS, et al. The effects of bright light treatment on affective symptoms in people with dementia: a 24-week cluster randomized controlled trial. BMC Psychiatry. 2021;21(1):377. https://doi.org/10.1186/s12888-021-03376-y .
doi: 10.1186/s12888-021-03376-y pubmed: 34320937 pmcid: 8317398
Brown AW, Li P, Bohan Brown MM, Kaiser KA, Keith SW, Oakes JM, et al. Best (but oft-forgotten) practices: designing, analyzing, and reporting cluster randomized controlled trials. Am J Clin Nutr. 2015;102(2):241–8. https://doi.org/10.3945/ajcn.114.105072 .
doi: 10.3945/ajcn.114.105072 pubmed: 26016864 pmcid: 4515862
Murray DM, Varnell SP, Blitstein JL. Design and Analysis of Group-Randomized Trials: A Review of Recent Methodological Developments. Am J Public Health. 2004;94(3):423–32. https://doi.org/10.2105/AJPH.94.3.423 .
doi: 10.2105/AJPH.94.3.423 pubmed: 14998806 pmcid: 1448268
National Institutes of Health. Research Methods Resources: Group- or Cluster-Randomized Trials (GRTs). Available from: https://researchmethodsresources.nih.gov/methods/grt .
Rasch D, Guiard V. (2004). The robustness of parametric statistical methods. Psychology Science, 46(2), 175–208.Available from: https://psycnet.apa.org/record/2004-19989-001 .

Auteurs

Yasaman Jamshidi-Naeini (Y)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.

Lilian Golzarri-Arroyo (L)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.

Abu Bakkar Siddique (AB)

School of Public Administration, Florida Atlantic University, Boca Raton, FL, USA.

Colby J Vorland (CJ)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.

Miriam Jocelyn Rodriguez (MJ)

Department of Health and Wellness Design, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.

Richard J Holden (RJ)

Department of Health and Wellness Design, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Indiana University Center for Aging Research, Regenstrief Institute, Inc, Indianapolis, IN, USA.
Center for Health Innovation and Implementation Science, Indiana University, Indianapolis, IN, USA.

David B Allison (DB)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA. allison@iu.edu.

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