Pharmaceutical Data Analysis

Course Code :1009FBDFAR
Study domain:Statistics
Academic year:2017-2018
Semester:2nd semester
Contact hours:35
Credits:3
Study load (hours):84
Contract restrictions: Exam contract not possible
Language of instruction:Dutch
Exam period:exam in the 2nd semester
Lecturer(s)Erik Fransen

3. Course contents *

Quality control of data, construction of histograms and box plots to visualize data.
Parametric test: Student t-test (paired and unpaired), one and two way ANOVA, , post hoc testing, single and multiple linear regression, correlation
Non - parametric tests: Wilcoxon, Mann-Whitney, Kruskal Wallis, Chi square.
By means of the Statistics Decision Tree, the student is guided when to use a specific test for a specific situation.

Students receive classes in which the professor demonstrates the "how and why", but most of the time is dedicated to practical sessions in which students have to perform individually the requested tests on computers, using SPSS.