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Multiple Systems Estimation workshop

Patrick Ball, Director of Research, Human Rights Data Analysis Group (HRDAG), presents a workshop on Multiple Systems Estimation.
When Sep 19, 2016
from 01:00 PM to 03:30 PM
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Multiple Systems Estimation, or capture-recapture, is a statistical method that enables the estimation of a total population using a set of intersecting, partial lists. For example, this method has been used to estimate the total number of people killed by the Army in Guatemala during the 1980s using lists of deaths compiled by human rights projects. From this analysis, we found that the relative risk of being killed by the Army was eight times greater for indigenous relative to non-indigenous residents of the Ixil area.

In this workshop, I will explore the estimate of total homicides in Colombia (disaggregated over time and space) using a set of partial registries. Each individual list has only a small fraction of the total deaths, and even together they cover about two-thirds of the total.

I will trace the history of MSE from the original estimator through various improvements that have relaxed some of the assumptions and narrowed others. These include log-linear estimates, lower-bound estimates, and two Bayesian approaches.

Prerequisites

Participants should have some understanding of regression-like models, including log-linear estimates of contingency table counts. The classic source for this is Bishop, Fienberg, and Holland, Discrete Multivariate Analysis. The examples will be presented in R.

 

 

This workshop will be preceded by the seminar 'Digital Echoes: Understanding the patterns of mass violence with data and statistics' which is open to all, though registration is required.