Optimising research investment by simulating and evaluating monitoring strategies to inform a trial: a simulation of liver fibrosis monitoring
Monitoring data can be simulated and strategies compared given adequate knowledge of disease progression and test performance. Such exercises should be carried out to ensure optimal strategies are evaluated in trials thus reducing research waste. Monitoring data can be generated and monitoring strategies can be assessed if data is available on the monitoring test performance and the test variability. This work highlights the data necessary and the general method for evaluating the performance of monitoring strategies, allowing appropriate strategies to be selected for evaluation. Modelling work should be conducted prior to full scale investigation of monitoring strategies, allowing optimal monitoring strategies to be assessed.
Authors
- Jenny Hewison (ORCID: https://orcid.org/0000-0003-3026-3250)
- Jonathan J Deeks (ORCID: https://orcid.org/0000-0002-8850-1971)
- Walter M. Gregory (ORCID: https://orcid.org/0000-0003-2641-8416)
- Julie Parkes (ORCID: https://orcid.org/0000-0002-6490-395X)
- Jacqueline Dinnes (ORCID: https://orcid.org/0000-0003-1343-7335)
- Alice Sitch (ORCID: https://orcid.org/0000-0001-7727-4497)
Institutions
- University of Leeds (GB)
- National Institute for Health and Care Research (GB)
- NIHR Birmingham Biomedical Research Centre (GB)
- University of Southampton (GB)
- University of Birmingham (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1186/s12874-024-02425-w
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Programme Grants for Applied Research