Evidence map›Paper›PMID 41814178›Full record

ArticleBMC medical research methodology2026

A scoping review of statistical methods for the analysis of method comparison studies with repeated measurements of clinical data.

Karine Brousseau, Victoria Ivankovic, Tori Lenet, Daniel I McIsaac, Tim Ramsay, Dean A Fergusson, Guillaume Martel

Abstract readScoping Review
In one paragraph

Article in BMC medical research methodology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Karine BrousseauSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Victoria IvankovicSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Tori LenetLiver and Pancreas Unit, Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada.
Daniel I McIsaacSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Tim RamsaySchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Dean A FergussonSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Guillaume MartelSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada. gumartel@toh.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethod comparison studies are conducted to examine the level of agreement between two instruments measuring physiological continuous parameters. The inclusion of repeated measurements in such studies poses additional challenges. The Bland & Altman limits of agreement (LOA) approach has been adapted to account for the correlation between repeated measurements and is widely used in method comparison studies. Alternate statistical methods are not always appropriate for the analysis of such data, and there is a paucity of evidence and guidelines pertaining to statistical methods that inform the analysis of method comparison studies that include repeated measurements. This scoping review aimed to identify methodological publications that propose statistical methods to inform the analysis of method comparison studies that include repeated measurements of continuous clinical data and that may be compared with the LOA method.

methodsSix online databases were searched from inception to November 2022 using a peer-reviewed search strategy. Searching of grey literature and books, as well as backward citation searching were performed to identify additional sources of evidence. Screening and data abstraction were done by two independent reviewers. Results were synthesized narratively.

resultsTwenty-nine publications were included in this review. Thirty-two independent statistical methods were identified from the included publications, including variants of the LOA method. Four included publications compared findings from different versions of the LOA method. Four different approaches to handling repeated measurements in the context of method comparison studies were identified and were used to group findings from the included publications. Reported strengths and limitations of the LOA method were summarized.

conclusionThis scoping review provides a synthesis of existing statistical approaches to inform the analysis of method comparison studies with repeated measurements of clinical data, as well as how the various statistical methods perform when compared with various version of the LOA method. Based on the findings, it is generally advisable to consider using adjusted LOAs or modified mixed-effect LOAs in analyzing method comparison studies with repeated measurements.

trial registrationThe protocol was registered on Open Science Framework ( https://osf.io/4p8ut ).

Indexed as

Data Interpretation, StatisticalResearch DesignHumansReproducibility of ResultsBland-Altmancontinuous datamethod comparisonrepeated measurementsscoping reviewstatistical methods

Identifiers

PMID41814178
PMCPMC13088789

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.