Statistics and Epidemiology

Dozent/in	Prof. Dr. Stefan Boes; Tess Bardy, Bardy; Lorena Wyss, MSc
Veranstaltungsart	Vorlesung/Übung
Code	HS211020
Semester	Herbstsemester 2021
Durchführender Fachbereich	Gesundheitswissenschaften
Studienstufe	Master
Termin/e	Mi, 06.10.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 06.10.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 13.10.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 13.10.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 20.10.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 20.10.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 27.10.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 27.10.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 03.11.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 03.11.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 10.11.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 10.11.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 17.11.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 17.11.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 24.11.2021, 08:30 - 10:00 Uhr, 3.B58 Mi, 24.11.2021, 14:15 - 16:00 Uhr, 3.B58 Mi, 01.12.2021, 14:15 - 16:00 Uhr, ZOOM Mi, 01.12.2021, 08:30 - 10:00 Uhr, ZOOM Mi, 15.12.2021, 14:15 - 16:00 Uhr, ZOOM Mi, 15.12.2021, 08:30 - 10:00 Uhr, ZOOM Mo, 24.01.2022, 10:30 - 12:00 Uhr, Digitale Prüfung (Prüfung)
Weitere Daten	The course is a mandatory Basic Course (1st semester).
Umfang	2 Semesterwochenstunden
Inhalt	This course introduces basic epidemiological and statistical concepts and procedures for the collection, observation, and analysis of health-related data. Topics include measures of disease frequency, association and causality, observational and experimental study designs, and basic methods of descriptive and inferential statistics. Students will learn how to critically read published epidemiological studies, understand the underlying research designs, elements of the empirical analyses, and conclusions drawn from the studies. Students will gain hands-on experience in using statistical software to analyze real-world data.
Lernziele	The learning objectives of the course are: (i) learn how to calculate and interpret measures of disease frequency, effect and association; (ii) know the main research designs used in epidemiological studies; (iii) demonstrate an understanding of the basic concepts of descriptive and inferential statistics; (iv) develop hands-on experience in data management and analysis using statistical software; and (v) be able to critically appraise published epidemiological studies.
Voraussetzungen	Grade 4.0 or better
Sprache	Englisch
Begrenzung	priority Master Health Sciences students
Anmeldung	https://elearning.hsm-unilu.ch/course/view.php?id=438
Prüfung	Final written examination.
Abschlussform / Credits	written examination and individualized homework assignment. / 3 Credits
Hinweise	Teaching method(s): Longitudinal course with blended learning
Hörer-/innen	Ja
Kontakt	stefan.boes@unilu.ch / tess.bardy@unilu.ch / lorena.wyss@unilu.ch
Material	- Stata 16 (available through the university) - Slides, exercise sheets, weekly work tasks - Video Lectures and Tutorials
Literatur	- Gordis L (2018) Epidemiology, 6e, Elsevier - Moore DS, McCabe GP, Craig BA (2017) Introduction to the Practice of Statistics, 9e, Macmillan International - Kohler U, Kreuter F (2012) Data Analysis Using Stata, 3e, Stata Press