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28941-01 - Vorlesung: Biostatistics and Experiment Planning 2 KP

Semester Herbstsemester 2019
Angebotsmuster Jedes Herbstsemester
Dozierende Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@unibas.ch)
Andrea Farnham (andrea.farnham@unibas.ch, BeurteilerIn)
Inhalt 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, basic concepts of experimental design.

Week 1: Basic notions, random samples, tabular and graphical representations (C. Schindler)
Week 1: Measures of location and dispersion, distribution function, Box plots (C. Schindler)
Week 2: Normal and log-normal distribution (C. Schindler)
Week 2: Population parameters and parameter estimates, confidence intervals (C. Schindler)
Week 3: Exercises (C. Schindler)
Week 3: Fundamentals of hypothesis testing (C. Schindler)
Week 4: Comparison of means (C. Schindler)
Week 4: Comparison of relative frequencies (C. Schindler)
Week 5: Exercises (C. Schindler)
Week 5: Simple linear regression and correlation (C. Schindler)
Week 6: Analysis of variance (C. Schindler)
Week 6: Exercises (C. Schindler)
Week 7: Regression models (C. Schindler)
Week 8: Design of Experiments (G. Duran)
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: Repetitorium (C Schindler, G. Duran)
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 JMP, which can be purchased via the home page of the IT-Services of the University of Basel, will be used from the third course week 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

 

Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall wöchentlich
Datum 16.09.2019 – 16.12.2019
Zeit Montag, 15.15-17.00 Pharmazentrum, Computerraum Kiwi

lecture break in week 7 and 14: examination weeks

Datum Zeit Raum
Montag 16.09.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 23.09.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 30.09.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 07.10.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 14.10.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 21.10.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 28.10.2019 15.15-17.00 Uhr Examination Week
Montag 04.11.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 11.11.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 18.11.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 25.11.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 02.12.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 09.12.2019 15.15-17.00 Uhr Pharmazentrum, Computerraum Kiwi
Montag 16.12.2019 15.15-17.00 Uhr Examination Week
Module Modul: General Skills and Experimental Tools (Masterstudium: Drug Sciences)
Wahlbereich Master Pharmazie: Empfehlungen (Masterstudium: Pharmazie)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung https://pharma.unibas.ch/de/teaching/pruefungen-exams/performance-assessments/course-accompanying-examinations/
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,5
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Departement Pharmazeutische Wissenschaften

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