Journal article

A scoping review of studies using observational data to optimise dynamic treatment regimens

Robert K Mahar, Myra B McGuinness, Bibhas Chakraborty, John B Carlin, Maarten J IJzerman, Julie A Simpson



BACKGROUND: Dynamic treatment regimens (DTRs) formalise the multi-stage and dynamic decision problems that clinicians often face when treating chronic or progressive medical conditions. Compared to randomised controlled trials, using observational data to optimise DTRs may allow a wider range of treatments to be evaluated at a lower cost. This review aimed to provide an overview of how DTRs are optimised with observational data in practice. METHODS: Using the PubMed database, a scoping review of studies in which DTRs were optimised using observational data was performed in October 2020. Data extracted from eligible articles included target medical condition, source and type of data, statisti..

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Awarded by National Health and Medical Research Council

Funding Acknowledgements

JAS acknowledges support from the National Health and Medical Research Council through a Centre of Research Excellence grant (ID 1035261) awarded to the Victorian Centre of Biostatistics (ViCBiostat), and Senior Research Fellowship (ID 1104975) awarded to JAS. BC acknowledges support from a start-up grant from Duke-NUS Medical School, Singapore. Design of the study, collection, analysis, and interpretation of data, and writing of the manuscript was done completely independently of any funding bodies.