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

RK Mahar; MB McGuinness; B Chakraborty; JB Carlin; MJ IJzerman; JA Simpson

Journal article

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

RK Mahar, MB McGuinness, B Chakraborty, JB Carlin, MJ IJzerman, JA Simpson

BMC Medical Research Methodology | BMC | Published : 2021

DOI: 10.1186/s12874-021-01211-2

Download PDF

Abstract

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..

View full abstract

University of Melbourne Researchers

Robert Mahar Author

Myra McGuinness Author

John Carlin Author

Maarten IJzerman Author

Related Projects (2)

INTEGRATION OF BIOSTATISTICS AND MATHEMATICAL MODELLING TO IMPROVE THE CONTROL OF INFECTIOUS DISEASES

Improving the control of infectious diseases requires the evaluation of interventions that prevent disease at the population level and succe..

THE VICTORIAN CENTRE FOR APPLIED BIOSTATISTICS (VCAB): BUILDING CORE METHODOLOGICAL CAPACITY FOR POPULATION HEALTH

Biostatistics is the scientific discipline that focusses on the methods used to design and analyse research studies on human health. Doctors..

Grants

Awarded by Duke-NUS Medical School

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.