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28941-01 - Vorlesung: Biostatistics and Experiment Planning (2 KP)
| Semester | Herbstsemester 2025 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende | Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@unibas.ch, BeurteilerIn) |
| Inhalt | 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: Descriptive statistics Week 2: Normal distribution/parameter estimations Week 3: Fundamentals of hypothesis testing Week 4: Comparison of means/medians and relative frequencies Week 5: Simple linear regression and correlation Week 6: Analysis of variance Week 7: Lecture Break Week 8: Linear regression models Week 9: Design of Experiments Week 10: Design of Experiments Week 11: Design of Experiments Week 12: Design of Experiments Week 13: Design of Experiments Week 14: Lecture Break |
| Lernziele | 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. |
| Literatur | Book: Kirkwood, B. R.; Sterne, J. A. C.: Essential Medical Statistics, 2nd edition. Blackwell Science (501Seiten) 2003. |
| Bemerkungen | The course will be based on lecture notes. The statistics program R will be used for the statistics lectures. 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 |
| Teilnahmevoraussetzungen | Completed Bachelor degree |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Montag | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Montag 15.09.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 22.09.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 29.09.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 06.10.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 13.10.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 20.10.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 27.10.2025 | 15.15-17.00 Uhr | no lecture, exam week |
| Montag 03.11.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 10.11.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 17.11.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 24.11.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 01.12.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 08.12.2025 | 15.15-17.00 Uhr | Pharmazentrum, Computerraum Cherry |
| Montag 15.12.2025 | 15.15-17.00 Uhr | no lecture, exam week |
| Montag 05.01.2026 | 09.00-10.20 Uhr | Pharmazentrum, Hörsaal 1 |
| Module |
Modul: General Skills and Experimental Tools (Masterstudium: Drug Sciences) Modul: Vertiefung Medizinische Nanowissenschaften (Masterstudium: Nanowissenschaften) Wahlbereich Master Pharmazie: Empfehlungen (Masterstudium: Pharmazie) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | https://pharma.unibas.ch/en/education/assessments-and-credit-points/continuous-assessments/ |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Departement Pharmazeutische Wissenschaften |