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Module guide

Module MA1610-KP06

Applied Epidemiology and Biostatistics (BiostatEp1)

Duration:
2 Semester
Turnus of offer:
starts every winter semester
Credit points:
6
Course of studies, specific field and terms:
  • Master Infection Biology 2018 (compulsory), Interdisciplinary modules, 1st semester
Classes and lectures:
  • Part B: Applied Epidemiology (lecture, 2 SWS)
  • Part A: Applied Biostatistics (exercise, 1 SWS)
  • Part A: Applied Biostatistics (lecture, 3 SWS)
Workload:
  • 90 Hours private studies
  • 90 Hours in-classroom work
Contents of teaching:
  • Part A: Applied Biostatistics
  • Descriptive statistics
  • Inferential statistics (estimation and testing)
  • Measures of association and correlation
  • Regression analysis (linear and logistic)
  • Survival analysis
  • Introduction to statistical programming
  • Practical application of statistical methods
  • Part B: Applied Epidemiology
  • Introduction to epidemiology
  • Measures of frequency (incidence, prevalence, etc.)
  • Data sources
  • Medical diagnosis (sensitivity and specificity, etc.)
  • Causality
  • Study designs (randomised controlled trial, cohort study, case control study, cross sectional study)
  • Measures of effect (absolute and relative risk, attributable risk, etc.)
  • Random error, bias and confounding
Qualification-goals/Competencies:
  • 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
  • Part B: Applied 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
Grading through:
  • written exam
Responsible for this module:
Teacher:
Literature:
  • 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
Language:
  • offered only in English
Notes:

Part A: Applied Biostatistics takes place every winter semester and Part B: Applied Epidemiology every summer semester. Part A: written exam of 90 min at the end of the winter semester Part B: written exam of 90 min at the end of the summer semester If both parts are passed successfully, the mean of the percentages of points reached in the two module parts is calculated to give the final module grade.

Letzte Änderung:
29.8.2019