PhD. John Ferguson

Senior Research Fellow in Biostatistics, Clinical Research Facility

Research interests

Statistical and genetic epidemiology; attributable risk, statistical applications for genome wide association studies.  Empirical Bayes methods.

Research overview

Selected publications

  • John Ferguson, Alberto Alvarez-Iglesias, John Newell, John Hinde, and Martin O’Donnell. "Estimating average attributable fractions with confidence intervals for cohort and case–control studies." Statistical Methods in Medical Research (2016):
  • John P Ferguson and Dean Palejev. P-value calibration for multiple testing problems in genomics. Statistical Applications in Genetics and Molecular Biology 13, no. 6 (2014)
  • John Ferguson., Judy Cho, Can Yang and Hongyu Zhao. (2013), Empirical Bayes Correction for the Winner's Curse in Genetic Association Studies. Genet. Epidemiol.. doi: 10.1002/gepi.21683
  • John Ferguson, William Wheeler, Yi-Ping Fu, Ludmila Prokunina, Hongyu Zhao, Joshua Sampson. (2012)Statistical tests for detecting associations with groups of genetic variants: generalization, evaluation and implementation   European Journal of Human Genetics, doi:10.1038/ejhg.2012.22
  • John Ferguson, Judy Cho, Hongyu Zhao. (2012) ‘A new approach for the joint analysis of multiple Chip-Seq libraries with application to Histone Modification.’ Statistical Applications in Genetics and Molecular Biology. Volume 11, Issue 3, Pages 1-19, ISSN (Online) 1544-6115, doi: 10.1515/1544-6115.1660.