4.4 Editorial Material

Comparing Breast Cancer Risk Assessment Models

Related references

Note: Only part of the references are listed.
Article Mathematical & Computational Biology

Applying the Lorenz curve to disease risk to optimize health benefits under cost constraints

Mitchell H. Gail

Statistics and Its Interface (2013)

Article Medicine, General & Internal

Performance of Common Genetic Variants in Breast-Cancer Risk Models.

Sholom Wacholder et al.

NEW ENGLAND JOURNAL OF MEDICINE (2010)

Article Oncology

Value of Adding Single-Nucleotide Polymorphism Genotypes to a Breast Cancer Risk Model

Mitchell H. Gail

JOURNAL OF THE NATIONAL CANCER INSTITUTE (2009)

Article Oncology

Assessment of the Accuracy of the Gail Model in Women With Atypical Hyperplasia

V. Shane Pankratz et al.

JOURNAL OF CLINICAL ONCOLOGY (2008)

Article Oncology

Recent Trends in Breast Cancer Among Younger Women in the United States

Louise A. Brinton et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2008)

Article Oncology

Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk

Mitchell H. Gail

JOURNAL OF THE NATIONAL CANCER INSTITUTE (2008)

Article Medicine, General & Internal

Polygenes, risk prediction, and targeted prevention of breast cancer

Paul D. P. Pharoah et al.

NEW ENGLAND JOURNAL OF MEDICINE (2008)

Article Oncology

Predicting risk of breast cancer in postmenopausal women by hormone receptor status

Rowan T. Chlebowski et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2007)

Article Statistics & Probability

Peirce, Youden, and receiver operating characteristic curves

Stuart G. Baker et al.

AMERICAN STATISTICIAN (2007)

Article Oncology

Meta-analysis of BRCA1 and BRCA2 penetrance

Sining Chen et al.

JOURNAL OF CLINICAL ONCOLOGY (2007)

Article Health Care Sciences & Services

Decision curve analysis: A novel method for evaluating prediction models

Andrew J. Vickers et al.

MEDICAL DECISION MAKING (2006)

Article Oncology

Cumulative absolute breast cancer risk for young women treated for Hodgkin lymphoma

LB Travis et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2005)

Article Mathematical & Computational Biology

On criteria for evaluating models of absolute risks

MH Gail et al.

BIOSTATISTICS (2005)

Article Mathematical & Computational Biology

A breast cancer prediction model incorporating familial and personal risk factors

J Tyrer et al.

STATISTICS IN MEDICINE (2004)

Article Oncology

Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention

B Rockhill et al.

JOURNAL OF THE NATIONAL CANCER INSTITUTE (2001)