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Mitchell H Gail

Showing results (1-10 of 216) with videos related to

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The Lancet. Oncology|June 5, 2019
Performance of BCRAT in high-risk patients with breast cancerMitchell H Gail
Journal of the National Cancer Institute|June 19, 2009
Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk modelMitchell H Gail
Thorax|February 20, 2014
Using absolute risks to assess the risks and benefits of treatmentMitchell H Gail
Journal of Clinical Epidemiology|June 25, 2017
The prediction impact curve is proportional to the proportion of cases followed (letter commenting: J Clin Epidemiol 2016;69:361-363)Mitchell H Gail
Journal of the National Cancer Institute|February 28, 2015
Twenty-five years of breast cancer risk models and their applicationsMitchell H Gail
Statistics in Medicine|February 22, 2011
Personalized estimates of breast cancer risk in clinical practice and public healthMitchell H Gail
Statistics in Medicine|October 6, 2012
Comment on 'principles of research' by Jerome CornfieldMitchell H Gail
Lifetime Data Analysis|December 7, 2007
Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studiesMitchell H Gail
Journal of the National Cancer Institute|July 10, 2008
Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer riskMitchell H Gail
Statistics and Its Interface|September 26, 2009
Applying the Lorenz curve to disease risk to optimize health benefits under cost constraintsMitchell H Gail
Pageof 22

Showing results (1-10 of 216) with videos related to

Sort By:
Pageof 22
The Lancet. Oncology|June 5, 2019
Performance of BCRAT in high-risk patients with breast cancerMitchell H Gail
Journal of the National Cancer Institute|June 19, 2009
Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk modelMitchell H Gail
Thorax|February 20, 2014
Using absolute risks to assess the risks and benefits of treatmentMitchell H Gail
Journal of Clinical Epidemiology|June 25, 2017
The prediction impact curve is proportional to the proportion of cases followed (letter commenting: J Clin Epidemiol 2016;69:361-363)Mitchell H Gail
Journal of the National Cancer Institute|February 28, 2015
Twenty-five years of breast cancer risk models and their applicationsMitchell H Gail
Statistics in Medicine|February 22, 2011
Personalized estimates of breast cancer risk in clinical practice and public healthMitchell H Gail
Statistics in Medicine|October 6, 2012
Comment on 'principles of research' by Jerome CornfieldMitchell H Gail
Lifetime Data Analysis|December 7, 2007
Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studiesMitchell H Gail
Journal of the National Cancer Institute|July 10, 2008
Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer riskMitchell H Gail
Statistics and Its Interface|September 26, 2009
Applying the Lorenz curve to disease risk to optimize health benefits under cost constraintsMitchell H Gail
Pageof 22