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Colin B Begg

Showing results (41-50 of 184) with videos related to

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Statistical Applications in Genetics and Molecular Biology|May 2, 2006
A method for evaluating the impact of individual haplotypes on disease incidence in molecular epidemiology studiesE S Venkatraman, Nandita Mitra, Colin B Begg
Clinical Trials (London, England)|July 25, 2013
Testing the incremental predictive accuracy of new markersColin B Begg, Mithat Gonen, Venkatraman E Seshan
Biometrics|February 13, 2008
Comparison of properties of tests for assessing tumor clonalityIrina Ostrovnaya, Venkatraman E Seshan, Colin B Begg
Statistics in Medicine|March 7, 2007
Multiple imputation for correcting verification bias by Ofer Harel and Xiao-Hua Zhou, Statistics in Medicine 2006; 25:3769-3786James A Hanley, Nandini Dendukuri, Colin B Begg
Journal of the American Statistical Association|May 5, 2025
A New Strategy for Evaluating the Impact of Epidemiologic Risk Factors for Cancer With Application to MelanomaColin B Begg, Jaya M Satagopan, Marianne Berwick
Statistics in Medicine|October 5, 2012
Comparing ROC curves derived from regression modelsVenkatraman E Seshan, Mithat Gönen, Colin B Begg
Nature Communications|December 5, 2019
Using somatic variant richness to mine signals from rare variants in the cancer genomeSaptarshi Chakraborty, Arshi Arora, Colin B Begg, et al.
Cancer Epidemiology|May 3, 2024
Aggregation of melanoma tumour site within Western Australian familiesSarah V Ward, Esther N Drill, Colin B Begg
Biometrics|April 29, 2024
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approachSaptarshi Chakraborty, Zoe Guan, Colin B Begg, et al.
American Journal of Epidemiology|March 13, 2018
RE: "A MULTINOMIAL REGRESSION APPROACH TO MODEL OUTCOME HETEROGENEITY"Colin B Begg, Venkatraman E Seshan, Emily C Zabor
Pageof 19

Showing results (41-50 of 184) with videos related to

Sort By:
Pageof 19
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
A method for evaluating the impact of individual haplotypes on disease incidence in molecular epidemiology studiesE S Venkatraman, Nandita Mitra, Colin B Begg
Clinical Trials (London, England)|July 25, 2013
Testing the incremental predictive accuracy of new markersColin B Begg, Mithat Gonen, Venkatraman E Seshan
Biometrics|February 13, 2008
Comparison of properties of tests for assessing tumor clonalityIrina Ostrovnaya, Venkatraman E Seshan, Colin B Begg
Statistics in Medicine|March 7, 2007
Multiple imputation for correcting verification bias by Ofer Harel and Xiao-Hua Zhou, Statistics in Medicine 2006; 25:3769-3786James A Hanley, Nandini Dendukuri, Colin B Begg
Journal of the American Statistical Association|May 5, 2025
A New Strategy for Evaluating the Impact of Epidemiologic Risk Factors for Cancer With Application to MelanomaColin B Begg, Jaya M Satagopan, Marianne Berwick
Statistics in Medicine|October 5, 2012
Comparing ROC curves derived from regression modelsVenkatraman E Seshan, Mithat Gönen, Colin B Begg
Nature Communications|December 5, 2019
Using somatic variant richness to mine signals from rare variants in the cancer genomeSaptarshi Chakraborty, Arshi Arora, Colin B Begg, et al.
Cancer Epidemiology|May 3, 2024
Aggregation of melanoma tumour site within Western Australian familiesSarah V Ward, Esther N Drill, Colin B Begg
Biometrics|April 29, 2024
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approachSaptarshi Chakraborty, Zoe Guan, Colin B Begg, et al.
American Journal of Epidemiology|March 13, 2018
RE: "A MULTINOMIAL REGRESSION APPROACH TO MODEL OUTCOME HETEROGENEITY"Colin B Begg, Venkatraman E Seshan, Emily C Zabor
Pageof 19