Experimental Design in Biomedical Research University of Bordeaux
OBJECTIVES:Establish a rigorous experimental approach in biomedical research.Develop critical analysis skills. Integrate statistical analysis inscientific research.
- Notions on Epistemology: Uncertainty, Falsifiability, Paradigmshift, Induction, Deduction. Establishing Causality and Proof inScience. The importance of reproducibility. - Defining the Hypothesis, the variables tested and the experimentaloutcomes. The reductionist approach. The most parsimoniousexplanation. Outlining the experiment as an hypothesis test; definingpositive result and negative result. Identifying false positive andfalse negative results (type 1 and type 2 errors). - The notions of reference and normalization; choosing theappropriate control group. Identifying the sources of experimentalvariation (biological variation, technical variation). Identifyingsources of errors (cognitive biases, logical fallacies, base rateneglect, experimental biases). - Ethical aspects of experimental design: Regulations, Scientificintegrity. - Integrating statistics in experimental design. Statistics notions(Significance, Magnitude, variability). Statistical hypothesis testing(defining the null Hypothesis, what is the p-Value, pValue testing,what not to do with the p-Value, choosing the appropriate statisticaltest). Important statistical procedures in Biomedical Research(Bonferoni correction, Bradford-Hill criteria, Kaplan-Meierestimator).
- Theoretical lectures - 12 hours - Tutorial classes - 14 hours
Online Course Requirement
Language of instruction: English
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: José Eduardo Gomesjosefirstname.lastname@example.org