402381 Methoden demografischer Analyse - Globale Aspekte: Demographic methods – Global Aspects (S) (WiSe 2022/2023)

Description: The course provides introduction to models and methods used in event-history analysis (also known as survival analysis, hazard regression, intensity regression, or duration data analysis). The content of this course can be applied to address many research questions in demography, social sciences, and epidemiology. For example, do education or grip strength predict how long people live, how long they stay unemployed, or when do they get marry or have the first child? The course provides also introduction to R programming language that is appropriate for the analysis of survival data.

Content: This course deals with methods analyzing survival times or time-to-event data, which may be censored and/or truncated. The main topics are estimating a life table, estimating healthy life expectancy, estimating a survival curve, comparing two (or more) survival curves, and regression analysis.

By the end of the course, students should be able to:
- Describe the basic concepts of event-history analysis
- Understand the link between event-history analysis, basic demographic methods and regression analysis
- Recognize the type of research questions for which event history analysis would be a suitable method
- Interpret studies that have used basic event-history methods
- Reflect on the assumptions, problems and limitations of event-history methods

Students completing the course paper should additionally be able tо:
- Transform data into the basic data layout of event history analysis
- Analyze time-dependent univariate and multivariate relationships
- Specify appropriate regression models using time-constant and time-varying explanatory variables
- Interpret results obtained and communicate them to experts and non-experts alike

Requirements for participation, required level

This Module is building upon Modules 40-MPH6 und 40-MPH-7h. It also is highly recommended that students participate in the Module MPH8a. The Module 40-MPH-8h is a more applied course, though both theoretical and applied materials will be covered. Knowledge of a statistical software (e.g. R, STATA or SPSS) is not mandatory, but it is advantageous.

Bibliography

Main literature:
1. Blossfeld H-P, Rohwer G., Schneider T (2019). Event history analysis with Stata. 2nd edition: Routledge
2. Broström, G. (2021). Event history analysis with R. Chapman and Hall/CRC.

Additional books:
1. Allison, P. (1984) Event History Analysis.
2. Kleinbaum, David G./Klein, Mitchel (2005): Survival Analysis: A Self-Learning Text. 2nd Edition. New York: Springer.
3. Cleves, M., Gutierrez, R.G., Gould, W. & Marchenko, Y.V. 2010. An Introduction to Survival Analysis Using Stata. Stata Press.