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Marginal structural models (MSM), a type of statistical model, are used to estimate causal links in observational/cohort data and therefore have been used to mimic clinical trials. However, there is an unmet need to broaden the current scope of what can be addressed by MSM, such as long-term effects of interventions, delayed effects of interventions and comparing multiple interventions.
The research team have developed this project to extend the present capabilities of MSM to include studies beyond the capabilities of clinical trials. These methods will enable researchers to use real-life data to draw conclusions about long-term and delayed treatment effects and compare multiple therapies.
This year, Dr Steve Simpson-Yap and his team have worked to bring together and format the necessary parts of the data for undertaking this project.
Having prepared the data for analysis, they are progressing through the next phase, which is generating the simulation datasets required for assessing the aims of the project.
The next steps of this project will be completing the simulation phase and commencement of the methodological research.
Updated: 31 March 2023
Updated: 14 February, 2022
Laboratory research that investigates scientific theories behind the possible causes, disease progression, ways to diagnose and better treat MS.
Research that builds on fundamental scientific research to develop new therapies, medical procedures or diagnostics and advances it closer to the clinic.
Clinical research is the culmination of fundamental and translational research turning those research discoveries into treatments and interventions for people with MS.
$247,924
3 years
