06 Mar Data transformations: The good, the bad, the ugly
1:00 pm - 2:00 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 Data transformations: the good, the bad, the ugly:
The Good about data transformations is that they readily bring the data close to the assumptions necessary for model building and interpretation. The Bad is that , deciding which transformation to use can sometimes be frustrating if the effects are not observed. In addition if wrongly applied they might lead to bias in inference. The Ugly fact about transformations is that they are buried in the very core of may subject areas that they are blindly applied without paying attention to the missed opportunities of using the raw data or other approaches. In this seminar, an attempt will be made to shift the Adhoc paradigms onto more Intuitive/Alternative approaches to data modifications.
UGent - Campus Sterre - Building S9
PC room 3.1 Konrad Zuse (3rd floor)
Krijgslaan 281, 9000 Gent