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
Contact information
email:
john.ferguson@nuigalway.ie
john.ferguson@nuigalway.ie
phone:
+353 91 494372
+353 91 494372
post:
HRB Clinical Research Facility, National University of Ireland, University Road, Galway
HRB Clinical Research Facility, National University of Ireland, University Road, Galway
Career history
- 2013-2015 Research fellow in biostatistics, University of Limerick, Ireland
- 2012-2013 Visiting Assistant Professor in Statistics, George Washington University
- 2011-2012 Associate Research Scientist, Genetics, Yale University
- 2009-2011 Postdoctoral fellow, Genetics, Yale University.
- May 2009, PhD. Statistics, Yale University
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.