Event History 1: Introduction and Models for Discrete Survival Times



Organised by:

London School of Economics


Dr Ben Wilson


Entry (no or almost no prior knowledge)


Camilya Maleh


View in Google Maps  (WC2A 2AE)


69 Aldwych, Columbia House


The lecture will begin with an overview of event history models, as used in many social science disciplines. The lecture will show how these models can be used to analyse the ‘duration until an event occurs’ (sometimes referred to as ‘survival time’). It will explain how event history models allow researchers to estimate the probability (or risk) of an event occurring, even when data are ‘censored’ (e.g. when there is missing data due to attrition or study drop-out). For the analysis of individual-level data, these methods can be used to investigate a wide range of events, including migration, divorce, and unemployment. In addition, the same models can be used to analyse events for different types of unit, including firms, cities or governments.

After providing an overview of event history models, the rest of the lecture will focus on discrete-time event history models. These models measure time in ‘discrete units’ such as months or years, which is typically the same unit of time that is used when event data are collected. Discrete-time models have many other advantages, including the fact that they can easily incorporate time-varying covariates. They can also be extended to allow a variety of advanced applications, including the analysis of repeated events, or models that allow for unobserved heterogeneity. 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.

Computer seminar: In the afternoon, a computer-based seminar will allow participants to apply the techniques covered in the lecture. In addition, the aim of the seminar is to reinforce participants’ understanding of the lecture content and to introduce important aspects of applied research, including the preparation of data for analysis. Although time will be limited, there will also be an opportunity to discuss any questions relating to event history models, including questions that relate to participants’ own research.

Additional Resources
Follow-on course

This is the first of two MY560 courses on event history modelling (also referred to as survival analysis, duration analysis, or hazard modelling). It is not necessary to take both courses, and you are welcome to sign up for either or both.

This event will be delivered in person at the LSE campus, Columbia House room 8.13.



Website and registration:


Greater London


Event History Analysis

Related publications and presentations:

Event History Analysis

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