05 Feb Power and sample size calculations
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 Power and sample size calculations:
Statistical testing provides a paradigm for deciding whether the data are or are not typical of the values expected when the hypothesis is true. Because our objective is usually to detect a departure from the null hypothesis, it is useful to define an alternative hypothesis that expresses the distribution of observations when the null is false. The difference between the distributions captures the experimental effect, and the probability of detecting the effect is the statistical power.
UGent - Campus Sterre - Building S9
PC room 3.1 Konrad Zuse (3rd floor)
Krijgslaan 281, 9000 Gent