- To provide a foundational analysis on statistical/causal inference with a focus on the critical assessment of current practices in drug approval and pharmacosurveillance.
- To build a unified epistemic framework within which different kinds of evidence for pharmaceutical harm can be combined and used for decision: evidence amalgamation.
- To provide a theoretical framework for the development of new standards of drug evaluation.
The project team is organising a workshop on
“Drug Safety, Probabilistic Causal Assessment, and Evidence Synthesis”.
It will take place on Friday the 27th of January 2017 and Saturday the 28th of January 2017 at the LMU in Munich.
The aim of the workshop is to provide epidemiologists, decision makers, epistemologists, pharmacologists, statisticians and practitioners a platform to discuss and advance the state of the art in risk management.
The EU Directive 2010/84/EU and the regulation No 1235/2010 call for the development of new approaches to evidence amalgamation which take evidence from multiple sources and evidence of multiple kinds into account.
More information coming soon.
Samuel C. Fletcher, Jürgen Landes & Roland Poellinger are guest-editing a special issue on “Evidence Amalgamation in the Sciences” with Synthese. To submit a manuscript login into Synthese’s editorial manager before 15.FEB.2017 and choose to submit to this special issue. Here’s the call
This proposed special issue provides a forum for researchers from diverse scientific and philosophical perspectives to discuss evidence amalgamation, its methodologies, its history, its pitfalls and its potential. In particular, we encourage critical analysis of past and current practice highlighting inadequacies and advances.
Commonalities and differences of methodologies for amalgamation across different sciences.
The roles of models and mechanisms in evidence amalgamation.
Normative – epistemological and ethical – issues concerning the amalgamation of evidence.
Basic issues in the philosophy of science relevant to evidence amalgamation such as: unification, justification, explanation, coherence, reductionism, incommensurability, inductive methods, and causal inference.
Decision and policy-making with large heterogeneous bodies of evidence.
Methodology of meta-analysis and systematic reviews.
Foundational issues of data integration and fusion within and across disciplines.
To discuss a possible contribution drop an email to the guest-editor of your choice.
Today, the American Institute of Physics published a proceedings volume containing a contribution by Jürgen Landes and Jon Williamson. In which they investigate an objective Bayesian approach to evidence amalgamation: Doi: 10.1063/1.4959048 (Open Access). See our Writings page for the full citation.
27.06.2016: Juergen Landes presented within the Research Seminar Series on Foundations of Statistics on an objective Bayesian approach to evidence amalgamation via data integration (joint work with Jon Williamson).
21.06.2016: Juergen Landes presented at the Formal Epistemology Workshop 2016 a paper on the epistemic foundations of probabilistic inference. The title of the talk was: “Invariant Equivocation”. The talk was based on an Erkenntnis paper by Juergen Landes and George Masterton with the same title.
MuST 9: Evidence, Inference, and Risk Munich: 31 March – 2 April 2016.
Presentations by the project members:
Juergen Landes on “A Multi-Criterial Approach to Amalgamating Evidence”
Barbara Osimani on “Causal Inference in Pharmacology: towards a Framework for Evidence Amalgamation”
Roland Poellinger on “Confirmation via In Silico Simulation”.
The conference was co-organised by Barbara Osimani and co-sponsored by the ERC-Grant 639276.