Event history analysis 2

Date:

22/03/2017

Organised by:

London School of Economics and Political Science

Presenter:

Dr Ben Wilson

Level:

Intermediate (some prior knowledge)

Contact:

Esti Sidley, 0207 955 6947

Map:

View in Google Maps  (WC2A 2AE)

Venue:

PhD Academy, 4th Floor, Lionel Robbins Building, Portugal Street, London

Description:

The lecture will begin with a brief overview of event history models (note that this overview will be much shorter than in ‘Event History 1’). This will include an outline of the differences between parametric, semi-parametric and non-parametric event history analysis. 
After this, the rest of the lecture will focus on Cox models. These models measure time in ‘continuous units’, and make the assumption of proportional hazards. The importance of this assumption will be explained in the lecture, alongside a review of the advantages and disadvantages of the Cox model, which has become the most popular event history model in many areas of research. As with discrete-time models, Cox models can also be extended to allow a variety of advanced applications, including models that allow for unobserved heterogeneity. These models are semi-parametric because the functional form of the baseline hazard remains unspecified. All of these terms will be explained in the lecture, which will aim to provide the audience with a solid introduction to the most salient issues for applied research. Please note, although this is Event History 2, it is not necessary to have attended Event Analysis 1 to attend this course.

Cost:

£30

Website and registration:

Region:

Greater London

Keywords:

Event History Analysis, Hazard analysis, Survival analysis, Discrete-time models , Cox models, , proportional hazards

Related publications and presentations:

Event History Analysis
Hazard analysis
Survival analysis

Back to archive...