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Semester | fall semester 2020 |
Course frequency | Every fall sem. |
Lecturers |
Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@unibas.ch)
Andrea Farnham (andrea.farnham@unibas.ch, Assessor) |
Content | Basic concepts of experimental design, data types, descriptive methods, statistical measures, normal distribution, parameter estimation and confidence intervals, basic notions and concepts of statistical tests, knowledge of the basic statistical tests, correlation, regression, analysis of variance. Week 1: Design of Experiments (G. Duran) Week 2: Design of Experiments (G. Duran) Week 3: Design of Experiments (G. Duran) Week 4: Design of Experiments (G. Duran) Week 5: Design of Experiments (G. Duran) Week 6: Descriptive statistics (A. Farnham) Week 7: Lecture break (Exams) Week 8: Normal distribution/parameter estimations (A. Farnham) Week 9: Fundamentals of hypothesis testing (A. Farnham) Week 10: Comparison of means/medians and relative frequencies (A. Farnham) Week 11: Simple linear regression and correlation (A. Farnham) Week 12: Analysis of variance (A. Farnham) Week 13: Linear regression models (A. Farnham) Week 14: Lecture break (Exams) |
Learning objectives | Students know basic descriptive statistical methods. They understand fundamental concepts of inferential statistics and know basic analytic tools, including linear regression modelling and one-way ANOVA. They also know the principles of experimental design. |
Bibliography | Book: Kirkwood, B. R.; Sterne, J. A. C.: Essential Medical Statistics, 2nd edition. Blackwell Science (501Seiten) 2003. |
Comments | The course will be based on lecture notes. The statistics program R will be used from November on. Students can also use the web platform BOMS (Basics of Medical Statistics) to do some interactive exercises.In addition to the official lectures, there will be exercise sessions. Film and sound recordings during the course are strictly forbidden (recorders may be confiscated) |
Weblink | www.boms.ch |
Admission requirements | Completed Bachelor degree |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
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No dates available. Please contact the lecturer.
Modules |
Electives Master Science in Pharmacy: Recommendations (Master's Studies: Science in Pharmacy) Module: General Skills and Experimental Tools (Master's Studies: Drug Sciences) |
Assessment format | continuous assessment |
Assessment details | https://pharma.unibas.ch/en/education/assessments-and-credit-points/continuous-assessments/ |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | no repeat examination |
Scale | 1-6 0,5 |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
Offered by | Departement Pharmazeutische Wissenschaften |