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

Semester Herbstsemester 2018
Angebotsmuster Jedes Herbstsemester
Dozierende Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@unibas.ch)
Christian Schindler (christian.schindler@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 Wochentag Zeit Raum

Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.

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 Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
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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