Dynamic modelling of n-of-1 data: powerful and flexible data analytics applied to individualised studies-Reference-Cited by-同舟云学术

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

Published:2017-07-03 Issue:3 Volume:11 Page:222-234
ISSN:1743-7199
Container-title:Health Psychology Review
language:en
Short-container-title:Health Psychology Review

Author:

Vieira Rute¹,McDonald Suzanne¹,Araújo-Soares Vera¹,Sniehotta Falko F.²,Henderson Robin³

Affiliation:

1. Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK

2. Fuse, UKCRC Centre for Translational Research in Public Health, Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK

3. School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne, UK

Funder

Programme Grants for Applied Research

Fuse, the Centre for Translational Research in Public Health

UKCRC Public Health Research Centre of Excellence

British Heart Foundation, Cancer Research UK

Economic and Social Research Council

Medical Research Council

National Institute for Health Research

Publisher

Informa UK Limited

Subject

Psychiatry and Mental health,Clinical Psychology

Link

https://tandfonline.com/doi/pdf/10.1080/17437199.2017.1343680

Reference53 articles.

1. Understanding Variation in Sets of N-of-1 Trials

2. Improving RCA performance: the Cornerstone Award and the power of positive reinforcement

3. The PREEMPT study - evaluating smartphone-assisted n-of-1 trials in patients with chronic pain: study protocol for a randomized controlled trial

4. Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules

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2. Multivariate variable selection in N-of-1 observational studies via additive Bayesian networks;PLOS ONE;2024-08-26

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4. Biofeedback and Digitalized Motivational Interviewing to Increase Daily Physical Activity: Series of Factorial N-of-1 Randomized Controlled Trials Piloting the Precious App;JMIR Formative Research;2023-11-23

5. Are digital health interventions valuable to support patients with cancer and caregivers? An umbrella review of web‐based and app‐based supportive care interventions;Cancer Medicine;2023-11-08

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