This (compulsory) 3-ec course will build further on the first-year course Statistics 1.
Where Statistics 1 dealt with unifactorial/univariate statistical procedures, Statistics 2 takes it one step further and will focus on multifactorial and multivariate procedures, such as multiple linear regression, 2-way ANOVA, and analysis of covariance.
Current null hypothesis significance testing (NHST) using a frequentist approach (“p-value driven”) is just one school of data analysis. Bayesian statistics is a second one. A short and first introduction in Bayesian statistics will be given and the method contrasted with NHST.
A meta-analysis is a methodology to aggregate the results (even non-significant ones!) of multiple published studies. The course will provide a first introduction in this methodology.
Power analysis and sample size calculations remain an important tool in the design of experiments. We will move on to more complex designs than the two-groups comparisons that were treated in Statistics 1.
|
|
|
|
|
|
Maximum capacity 120.
Compulsory course for 2nd year Bachelor Biology students. Other students might be placed on a waiting list. |
|