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28941-01 - Lecture: Biostatistics and Experiment Planning (2 CP)
| Semester | fall semester 2023 |
| Course frequency | Every fall sem. |
| Lecturers | Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@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: Descriptive statistics (A. Farnham) Week 2: Normal distribution/parameter estimations (A. Farnham) Week 3: Fundamentals of hypothesis testing (A. Farnham) Week 4: Comparison of means/medians and relative frequencies (A. Farnham) Week 5: Simple linear regression and correlation (A. Farnham) Week 6: Analysis of variance (A. Farnham) Week 7: Lecture Break Week 8: Linear regression models (A. Farnham) Week 9: Design of Experiments (G. Duran) Week 10: Design of Experiments (G. Duran) Week 11: Design of Experiments (G. Duran) Week 12: Design of Experiments (G. Duran) Week 13: Design of Experiments (G. Duran) Week 14: Lecture Break |
| 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 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 |
| Admission requirements | Completed Bachelor degree |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Monday | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
Dates
| Date | Time | Room |
|---|---|---|
| Monday 18.09.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 25.09.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 02.10.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 09.10.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 16.10.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 23.10.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 30.10.2023 | 15.15-17.00 | - Siehe Bemerkung, Examination weeks |
| Monday 06.11.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 13.11.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 20.11.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 27.11.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 04.12.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 11.12.2023 | 15.15-17.00 | Pharmazentrum, Computerraum Cherry |
| Monday 18.12.2023 | 15.15-17.00 | - Siehe Bemerkung, Examination weeks |
| Modules |
Electives Master Science in Pharmacy: Recommendations (Master's Studies: Science in Pharmacy) Module Specialisation: Medical Nanosciences (Master's Studies: Nanosciences) 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 |