Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies

Rute Vieira; Suzanne McDonald; Vera Araujo-Soares; Falko F. Sniehotta; Robin Henderson

doi:10.1080/17437199.2017.1343680

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Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies

Journal article

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Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies

Rute Vieira, Suzanne McDonald, Vera Araujo-Soares, Falko F. Sniehotta and Robin Henderson

Health psychology review, Vol.11(3), pp.222-234

2017

DOI: https://doi.org/10.1080/17437199.2017.1343680

PMID: 28629262

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Abstract

Psychology

Psychology, Clinical

Social Sciences

individualised study

single-case

dynamic regression

N-of-1 methods

N-of-1 studies are based on repeated observations within an individual or unit over time and are acknowledged as an important research method for generating scientific evidence about the health or behaviour of an individual. Statistical analyses of n-of-1 data require accurate modelling of the outcome while accounting for its distribution, time-related trend and error structures (e.g., autocorrelation) as well as reporting readily usable contextualised effect sizes for decision-making. A number of statistical approaches have been documented but no consensus exists on which method is most appropriate for which type of n-of-1 design. We discuss the statistical considerations for analysing n-of-1 studies and briefly review some currently used methodologies. We describe dynamic regression modelling as a flexible and powerful approach, adaptable to different types of outcomes and capable of dealing with the different challenges inherent to n-of-1 statistical modelling. Dynamic modelling borrows ideas from longitudinal and event history methodologies which explicitly incorporate the role of time and the influence of past on future. We also present an illustrative example of the use of dynamic regression on monitoring physical activity during the retirement transition. Dynamic modelling has the potential to expand researchers' access to robust and user-friendly statistical methods for individualised studies.

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Title: Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies
Creators: Rute Vieira - Newcastle University
Suzanne McDonald - Newcastle University
Vera Araujo-Soares - Newcastle University
Falko F. Sniehotta - Newcastle University
Robin Henderson - Newcastle University
Publication Details: Health psychology review, Vol.11(3), pp.222-234
Publisher: Taylor & Francis
Number of pages: 13
Grant note: Economic and Social Research Council; UK Research & Innovation (UKRI); Economic & Social Research Council (ESRC) Cancer Research UK RP-PG-1212-20009 / National Institute for Health Research (NIHR) Programme Grants for Applied Research; National Institute for Health Research (NIHR) Centre for Translational Research in Public Health Fuse National Institute for Health Research, under the UK Clinical Research Collaboration UKCRC Public Health Research Centre of Excellence from the British Heart Foundation Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC); European Commission MR/K02325X/1 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC); European Commission
Identifiers: 991013055104002368
Copyright: © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Academic Unit: Faculty of Health; Human Sciences
Language: English
Resource Type: Journal article

Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies

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