Health Research Methods, Evidence, and Impact


Joseph Beyene

BSc (Addis Ababa), MSc (Guelph), PhD (Toronto)

Professor, Dept of Health Research Methods, Evidence, and Impact

Chairholder: John D. Cameron Endowed Chair in Genetic Epidemiology

Member: Population Genomics Program

McMaster University
Michael DeGroote Centre for Learning & Discovery, Room 3208

905.521.2100 x 21333
905.528.2814
beyene@mcmaster.ca

Academic Interests

Dr. Beyene interests are in the areas of systematic reviews/meta-analyses, predictive modeling; health technology assessment, and clinical research . Additionally, he is highly interested in exploring the genetic factors relevant to illness and behaviour. His current work focuses on multi-level modeling in linkage and association analysis (applications of statistical techniques in genetics), pediatric early warning system, pain management in infants at risk for neurological impairment, and development of statistical methods for genomic data.

Selected Publications

  1. Sung L, Beyene J, Hayden J, Nathan PC, Lange B, Tomlinson GA. A Bayesian Meta-analysis of Prophylactic Granulocyte Colony-Stimulating Factor and Granulocyte-Macrophage Colony-Stimulating Factor in Children with Cancer. Am J Epidemiol. 2006 May 1;163(9):811-7.
  2. Hu P, Beyene J, Greenwood CM. Tests for differential gene expression using weights in oligonucleotide microarray experiments. BMC Genomics. 2006 Feb 22; 7:33.
  3. Stevens B, McGrath P, Yamada J, Gibbins S, Beyene J, Breau L, Camfield C, Finley A, Franck L, Howlett A, Johnston C, McKeever P, O'Brien K, Ohlsson A. Identification of pain indicators for infants at risk for neurological impairment: a Delphi consensus study. BMC Pediatr. 2006 Feb 2;6:1.
  4. Lim S, Beyene J, and Greenwood CMT. Continuous Covariates in Genetic Association Studies of Case-Parent Triads: Gene and Gene-Environment Interaction Effects, Population Stratification, and Power Analysis. Stat Appl Genet Mol Biol. 2005;4(1):Article20. Epub 2005 Aug 15.

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