Modul MA1610-KP06

Dauer

2 Semester

Angebotsturnus

Jährlich, kann sowohl im SoSe als auch im WiSe begonnen werden

Leistungspunkte

6

Studiengang, Fachgebiet und Fachsemester:

• Master Infection Biology 2023, Pflicht, Fächerübergreifende Module, 1. und 2. Fachsemester
• Master Infection Biology 2018, Pflicht, Fächerübergreifende Module, 1. und 2. Fachsemester

Lehrveranstaltungen:

• MA1610-Ü: Angewandte Biostatistik (Übung, 1 SWS)
• MA1611-V: Epidemiologie (Vorlesung, 2 SWS)
• MA1610-V: Angewandte Biostatistik (Vorlesung, 3 SWS)

Workload:

• 90 Stunden Selbststudium
• 90 Stunden Präsenzstudium

Lehrinhalte:

• Part A: Applied Biostatistics
• Descriptive statistics
• Inferential statistics (estimation and testing)
• Comparison of central tendencies
• Association and correlation
• Regression analysis (linear and logistic)
• Introduction to statistical programming
• Practical application of statistical methods
• Part B: Applied Epidemiology
• Introduction to epidemiology
• Measures of frequency (incidence, prevalence, etc.)
• Medical diagnosis (sensitivity and specificity, etc.)
• Epidemiologie von Infektionskrankheiten
• Untersuchung des Ausbruchs
• Causality
• Study designs (randomised controlled trial, cohort study, case control study, cross sectional study)
• Random error, bias and confounding
• Kritische Beurteilung

Qualifikationsziele/Kompetenzen:

• Part A: Applied Biostatistics
• Students are able to understand, explain and interpret results from common statistical analyses
• Students are able to choose adequate statistical methods for a given research problem
• Students are able to conduct basic statistical analyses using pen-and-pencil and statistic software. They are able to write answer sentences by applying the definition of the calculated measure to their result.
• Part B: Epidemiology
• Students are able to understand, explain and interpret epidemiological measures and other results from epidemiological research
• Students are able to understand and explain technical terms used in epidemiology
• Students are able to choose adequate study designs for given research problems and discuss their advantages and limitations (including possible sources of error, bias and confounding) and
• Students are able to judge if results from a particular study are valid or biased and what can be concluded from them (for example in terms of causality)
• Part A and B
• Soft skills: The students' communication competencies and capacity to team work should be increased by means of small group discussions

Vergabe von Leistungspunkten und Benotung durch:

• Mündliche Prüfung

Modulverantwortliche:

• Prof. Dr. med. Alexander Katalinic

Lehrende:

• Institut für Sozialmedizin und Epidemiologie
• Dr. rer. hum. biol. Nora Eisemann

Literatur:

• Bland : An Introduction to Medical Statistics 4th edition - Oup Oxford, 2015
• Field, Miles : Discovering Statistics Using R. Sage Publications, 2012
• Fletcher & Fletcher : Clinical Epidemiology. The Essentials. 5th edition Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins, 2014

Sprache:

• Wird nur auf Englisch angeboten

Bemerkungen:

Letzte Änderungen:

29.07.2022