Event History Analysis (Online)

Date:

25/11/2022

Organised by:

The University of Edinburgh

Presenter:

Dr Kevin Ralston, Lecturer in Sociology and Quantitative Methods, The University of Edinburgh

Level:

Intermediate (some prior knowledge)

Contact:

Laura Marshall (Usher Communications)
usher.communications@ed.ac.uk
Working Week: Monday - Thursday

Venue: Online

Description:

This course introduces the analysis and modelling of event history data. Event history analysis (EHA - also known as survival analysis or failure time analysis) is widely used in the social sciences where interest is on analysing time to events such as job changes, marriage, birth of children or time to divorce. The course draws on different data examples to illustrate event history approaches. This includes describing event history data, the semi-parametric Cox proportional hazards model, alternative parametric approaches and the discrete time modelling approach.

The course will use the Stata software in the most recent version available.

Pre-requisite:

Some familiarity with (and access to) Stata. Familiarity with alternative statistical analysis packages that transfer to Stata is also sufficient. Understanding of standard statistical analysis techniques such as OLS regression and/or other GLM models would be beneficial.

Course Timings: 10:00 - 16:00

Cost:

• £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Region:

Scotland

Keywords:

Longitudinal Data Analysis, Event History Analysis, Stata, Quantitative methods, Survivial analysis

Related publications and presentations:

Longitudinal Data Analysis
Event History Analysis

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