Paul McKeigue research group

Usher Institute of Population Health Sciences and Informatics, University of Edinburgh

Content

  1. People
  2. Software
  3. Publications
  4. Teaching

People

Paul McKeigue

Marco Colombo

Athina Spiliopoulou

Joe Mellor

Andrii Iakovliev

Software

GENOSCORES

A platform for calculating genotypic predictors of binary and quantitative phenotypes

GeneImp

A program to impute SNP genotypes from ultra-low coverage whole genome sequencing data

ADMIXMAP

A program to model admixture using ancestry-informative markers

Sample size calculator

To calculate the sample size required to learn to classify with a high-dimensional biomarker panel, an online sample size calculator is available.

Consider a guide to using the online calculator. The statistical methods are described in this paper.

Publications

McKeigue, Paul. Quantifying performance of a diagnostic test as the expected information for discrimination: relation to the C-statistic. Statistical methods in medical research 28.6 (2019): 1841-1851. Full text

This paper proposes that the expected information for discrimination (expected weight of evidence) should supplant the C-statistic (area under the ROC curve) for quantifying the performance of a diagnostic test or risk predictor, and for evaluating the incremental contribution of a new biomarker. The wevid R package is available to calculate and plot the distributions of weights of evidence. A tutorial on using the package and interpreting the results is also available.

Teaching

Biomedical Data Science

See the lecture notes and the lab material for the Biomedical Data Science course taught in the academic year 2017/2018 by Marco Colombo as part of the MSc in Operational Research (with Data Science) and the MSc in Statistics.