Computational & Systems Biology Program
The Colin Begg Lab
Dr. Begg has research interests spanning cancer epidemiology and statistical methods that are applicable to clinical research more broadly. In recent years Dr. Begg has been developing methods to identify etiologically distinct cancer sub-types, statistical tests of clonal relatedness of pairs of tumors, and more recently, efforts to detect clinically relevant signals from rare somatic mutations. Dr. Begg is Chair of the Department of Epidemiology and Biostatistics that conducts quantitative research across the cancer spectrum (link to dept website here). Dr. Begg has also served since 2014 as Editor-in-Chief of the international scholarly journal, Clinical Trials.
Mauguen A, Zabor EC, Thomas NE, Berwick M, Seshan VE, Begg CB. Defining cancer subtypes with distinctive etiologic profiles: an application to the epidemiology of melanoma. Journal of the American Statistical Association 2017;112:54-63. PMCID: PMC5460661.
Mauguen A, Seshan VE, Ostrovnaya I, Begg CB. Estimating the probability of clonal relatedness of pairs of tumors in cancer patients. Biometrics. 2018 Mar;74(1):321-330. PMCID: PMC5677588.
Begg CB, Ostrovnaya I, Geyer FC, Papanastasiou AD, Ng CKY, Sakr RA, Bernstein JL, BurkeKA, King TA, Piscuoglio S, Mauguen A, Orlow I, Weigelt B, Seshan VE, Morrow M, Reis-Filho JS. Contralateral breast cancers: Independent cancers or metastases? International Journal of Cancer 2018;142:347-356.
Chakraborty S, Arora A, Begg CB, Shen R. Using somatic variant richness to mine signals from rare variants in the cancer genome. Nat Comm. 2019 Dec 3;10(1):5506. PMCID: PMC6890761.
Begg CB. In defense of p-values. JNCI Cancer Spectr. 2020 Feb 26;4(2): pkaa012. PMID: 32373778; PMCID: PMC7191891.
Colin Begg, PhD
Chairman, Department of Epidemiology and Biostatistics
- Biostatistician Colin Begg has research interests spanning cancer epidemiology and statistical methods that are applicable to clinical research more broadly.
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