Event-History Analysis: Regression for Longitudinal Event Data

Education facts

Code: SO7133

This course is an introduction to event -history analysis (also known as survival analysis or intensity regression.) Duration data is commonly used to address many research questions in demography, social sciences, and epidemiology. Examples of such questions are: Which factors influence how long people live, how long they stay unemployed, or when do they start a family? This course introduces the techniques for analyzing such questions and data and covers univariate and basic multivariate (regression) methods for analysis of duration (event-history) data. Students also learn data management skills that are specific to conducting event-history analysis in Stata.

Entry requirements

Bachelor's Degree, English 6 and Quantitative Methods in the Social Science 1 or equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Event-History Analysis: Regression for Longitudinal Event Data

  Stockholm University

  Stockholm

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 50 %