David Bickel

Associate Professor, University of Ottawa
Ottawa, Canada

Research field: Mathematics - Statistics
For Research Interests, see Biographical Information and Contact Information.

Publications

Journal Article (18)
- David R. Bickel (2011) Blending Bayesian and frequentist methods according to the precision of prior information with an application to hypothesis testing.
  http://arxiv.org/abs/1107.2353
- David R Bickel (2011) Estimating the null distribution to adjust observed confidence levels for genome-scale screening., 363-70. In Biometrics 67 (2).
  http://www.ncbi.nlm.nih.gov/pubmed/20...
  
  Download PDF (374.72 KB)
- David R. Bickel (2011) Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions.
  http://arxiv.org/abs/1106.4490
  
  Download PDF (437.46 KB)
- David R. Bickel (2011) Small-scale inference: Empirical Bayes and confidence methods for as few as a single comparison.
  http://arxiv.org/abs/1104.0341
- David R. Bickel (2010) Large-scale interval and point estimates from an empirical Bayes extension of confidence posteriors.
  http://arxiv.org/abs/1012.6033
- David R. Bickel (2010) Measuring support for a hypothesis about a random parameter without estimating its unknown prior.
  http://arxiv.org/abs/1101.0305
- Corey M Yanofsky, David R Bickel (2010) Validation of differential gene expression algorithms: application comparing fold-change estimation to hypothesis testing., 63. In BMC Bioinformatics 11 (1).
  http://www.ncbi.nlm.nih.gov/pubmed/20...
  
  Download PDF (939.66 KB)
- David R. Bickel (2009) Coherent frequentism.
  http://arxiv.org/abs/0907.0139
  evernote:///view/78091/s2/982e3e42-f1...
- David R Bickel, Zahra Montazeri, Pei-Chun Hsieh et al. (2009) Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative, 772-779. In Bioinformatics 25 (6).
  http://www.ncbi.nlm.nih.gov/pubmed/19...
  
  Download PDF (191.15 KB)
- David R Bickel (2008) Correcting the estimated level of differential expression for gene selection bias: application to a microarray study., Article10. In Statistical Applications in Genetics and Molecular Biology 7 (1).
- See all

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Biographical Information

David Bickel has been an Associate Professor at the Ottawa Institute of Systems Biology since 2007. He has research interests in statistical genomics and in the foundations of statistics. After applying his statistical methods to the analysis of gene expression data, he has developed methods in response to problems with analyzing genome-wide association data and to measurements for smaller numbers of biological features (e.g., Gene Ontology terms or molecular species), especially from the metabolomics and proteomics domains. His work on the foundations of statistics focuses on hybrid methodologies, especially those based on confidence distributions, empirical Bayes approaches, and information theory.

CV

Professional Experience

2007 - Present

Associate Professor at University of Ottawa
Ottawa, Canada

Contact Information

Webpage:

www.davidbickel.com

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Ottawa, Canada

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