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Tuesday, June 28 • 1:54pm - 2:12pm
Statistics and R in Forensic Genetics

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Genetic evidence is often used as evidence in disputes. Mostly, the genetic evidence is DNA profiles and the disputes are often familial or crime cases. In this talk, we go through the statistical framework of evaluating genetic evidence by calculating an evidential weight. The focus will be the statistical aspects of how DNA material from the male Y chromosome can help resolve sexual assult cases. In particular, how an evidential weight of Y chromosomal DNA can be calculated using various statistical methods and how the methods use statistics and R. One of the methods is the discrete Laplace method which is a statistical model consisting of a mixture of discrete Laplace distributions (an exponential family). We demonstrate how inference for that method was initially done using R's built-in glm function with a new family function for the discrete Laplace distribution. We also explain how inference was speeded up by recognising the model as a weighted two-way layout with implicit model matrix and how this was implemented as a special case of iteratively reweighted least squares.

avatar for Torben  Tvedebrink

Torben Tvedebrink

Associate Professor, Department of Mathematical Sciences, Aalborg University
I'm a statistician working in the area of forensic genetics. R is a core part of my teaching and research. I was the chair of the local organising committee for useR! 2015 in Aalborg, and part of the programme committee for useR! 2016 in Stanford.

avatar for Mikkel Meyer Andersen

Mikkel Meyer Andersen

Assistant Professor, Department of Mathematical Sciences
I'm an applied statistician working with statistics for forensic genetics. R (as well as other programming languages and technologies) is a core part of my teaching and research. I was part of the local organising committee for useR! 2015 in Aalborg. useR! 2016 is my 3rd useR! conference... Read More →

Tuesday June 28, 2016 1:54pm - 2:12pm PDT
McCaw Hall