Event History 2: Understanding the Cox Model and Semi-parametric Analysis

Organised by

London School of Economics and Political Science

Presenter

Dr Ben Wilson

Date

12/05/2021

Venue

Houghton Street

Map

View in Google Maps  (WC2A 2AE)

Contact

Camilya Maleh
methodology.research@lse.ac.uk

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.

Level

Intermediate (some prior knowledge)

Cost

£30

Website and registration

Region

Greater London

Keywords

Event History Analysis, Cox Model , Semi-parametric Analysis

Related publications and presentations

Event History Analysis

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