Best Practices in Post-Experimental Data Analysis



Proper data handling standards, including appropriate use of statistical tests are integral to rigorous and reproducible neuroscience research. Training in quantitative neuroscience is a specific area of emphasis for the BRAIN Initiative, and rigorous statistical analysis methods are included in the recent Proposed Principals and Guidelines for Reporting Preclinical Research endorsed by NIH and multiple scientific associations, journals, and societies. This webinar — the third in SfN’s Promoting Awareness and Knowledge to Enhance Scientific Rigor in Neuroscience series — will cover best practices in post-experimental data analysis.

Link back to webinar