Project description
Statistical methodologies for complex healthcare interventions
Healthcare treatments are increasingly complex, requiring advanced statistical tools for analyses and guidelines. Complex interventions include interactions over an extended period of time, where past actions affect the decision-making process, meaning that the temporal dimension should be included in the statistical models. Comparative effectiveness research (CER) has recently emerged as a new component in healthcare decision-making, designed to analyse the effectiveness of different treatments. Funded by the Marie Skłodowska-Curie Actions programme, the Dynamic CER project will develop novel statistical methodologies to study the temporal dynamics of complex healthcare interventions for primary research and evidence synthesis. The innovative network meta-analysis tool will allow experts to dynamically monitor and update the results of existing network meta-analyses.
Objective
Comparative effectiveness research (CER) has recently emerged as a key component of health care decision-making, specifically designed to provide evidence of the effectiveness of different health care treatments. The latter are becoming increasingly complex, and there is now intense interest in deploying advanced statistical tools to study and guide the development of such complex systems. Complex interventions might also involve interactions through time, where actions in the past affect the future decision making context. In this case, the temporal dimension should be taken into account into the statistical model, yielding in turn more precise guidelines for health care decision-making. However, current CER methodologies are not well-suited to understand such complex systems or characterise their future behaviour. Statistical methods based on dynamic modelling are therefore needed to advance progress of the state-of-the art of CER research. In particular, this fellowship will tackle the problem by developing novel statistical methodologies for the study of the temporal dynamics of complex health care interventions, both for primary research and evidence synthesis. For primary research, the fellowship will explore the emerging case of pervasive and technology-based interventions, which are by nature dynamic. For evidence synthesis - which is the procedure of summarising evidence from different primary studies of a specific health condition - the innovative tool of network meta-analysis will be deployed and an extension for dynamically monitoring and updating the results of existing network meta-analyses will be developed.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences health care sciences
- medical and health sciences health sciences health care services eHealth
- natural sciences mathematics applied mathematics statistics and probability
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75006 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.