26 Feb Association, correlation and causation
1:00 pm - 2:30 pm
statistics seminar | level: beginner
registrations and venue via Ghent University
Are you concerned about how reproducible your data derived results will be? Have you seen statistics in a class but want to dig deeper? Are you using a statistical method but wonder if it is the best one to use?
The editors of Nature appreciate that it is tricky enough for a scientist to keep up-to-date in their own field, let alone in the ever expanding field of statistics. To help ease the burden on scientists, they have introduced a column on statistics to one of their publications, Nature Methods, called Points of Significance.
On regular occasions during the academic year, a statistician from FIRE or FLAMES will lead a discussion of a statistics topic from a Points of Significance article. We will start with the basics, that is, with the idea of sampling, work our way through a detailed discussion of ANOVA and end with the topic of Bayesian statistics.
This seminar is about Association, Correlation and Causation:
In everyday language, dependence, association and correlation are used interchangeably. Technically, however, association is synonymous with dependence and is different from correlation. Association is a very general relationship: one variable provides information about another. Correlation is more specific: two variables are correlated when they display an increasing or decreasing trend. Because not all associations are correlations and because causality can be connected only to association, we cannot equate correlation with causality in either direction.
This workshop aims to magnify the differences between these concepts.
Emmanuel Abatih is a post-doctoral fellow at Ghent University and he works as a statistical consultant for FIRE and also as a statistical consultant for Stat-Gent Crescendo. He obtained a PhD in Life Sciences in 2008 at the University of Copenhagen on the topic: “Assessment of the impact of the non-human use of Antimicrobial Agents on the Selection, Transmission and Distribution of Antimicrobial Resistant Bacteria” . He worked for the Institute of Tropical Medicine in Antwerp, as a post doc assistant on topics including: space-time analysis, diagnostic test elevation, transmission dynamic modeling and risk analysis. He served as a statistical consultant for the TB, Malaria and Parasitology units of the ITM. He has supervised/co-supervised over 30 masters and 7 PhD students. He has experience with R, python, SATSCAN, SAS and STATA.
UGent - Campus Sterre - Building S9
PC room 3.1 Konrad Zuse (3rd floor)
Krijgslaan 281, 9000 Gent
Basic statistical knowledge.