Objective
Lack of replicability of scientific discoveries has surfaced too often in recent years, and even reached the attention of the general public. An ignored cause is the inappropriate statistical treatment of two statistical problems: (1) selective inference, manifested in selecting few promising leads following the statistical analysis of the potential many, where ignoring the selection process on estimates, confidence intervals and observed significance; (2) using too optimistic a yardstick of variation with which confidence intervals set and statistical significance of the potential discovery is judged, as a result of ignoring the variability between laboratories and subjects. The first problem becomes more serious as the pool of potential discoveries increases, the second paradoxically becomes more serious as measuring ability improves, which explain why the two problems are more prominent in recent years. Both problems have statistical solutions, but the solutions are not practical as they burden the analysis to a point where the power to discover new findings is exceedingly low. Therefore, unless required by regulating agencies, scientists tend to avoid using these solutions.
I propose to develop methods that address such replicablity problems specific to medical research, epidemiology, genomics, brain research, and behavioral neuroscience. The methods include (a) new hierarchical weighted procedures, and model selection methods, that control the false discovery rate in testing; (b) shorter confidence intervals that offer false coverage-statement rate for the selected, both addressing the concern about selective inference; and (c) a compromise between using random effects models for the laboratories and subjects and treating them as fixed, to be aided by multiple laboratory database in behavior genetics and neuroscience. By serving the exact needs of scientists, while avoiding excessive protection, I expect the offered methodologies to become widely adapted.
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.
- natural sciences biological sciences neurobiology
- natural sciences biological sciences genetics
- natural sciences computer and information sciences databases
- medical and health sciences health sciences public health epidemiology
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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.
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.
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.
ERC-2011-ADG_20110310
See other projects for this call
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.
Host institution
69978 Tel Aviv
Israel
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.