Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective

Ruth Etzioni; Yu Shen; Ya Chen Tina Shih

doi:10.1093/jnci/djaa181

Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective

Ruth Etzioni, Yu Shen, Ya Chen Tina Shih

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	660-661
Number of pages	2
Journal	Journal of the National Cancer Institute
Volume	113
Issue number	6
DOIs	https://doi.org/10.1093/jnci/djaa181
State	Published - Jun 1 2021

ASJC Scopus subject areas

Oncology
Cancer Research

MD Anderson CCSG core facilities

Biostatistics Resource Group

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10.1093/jnci/djaa181

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@article{192fd0d7b3ee471fa860fd9c961c47dd,

title = "Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective",

author = "Ruth Etzioni and Yu Shen and Shih, {Ya Chen Tina}",

year = "2021",

month = jun,

day = "1",

doi = "10.1093/jnci/djaa181",

language = "English (US)",

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journal = "Journal of the National Cancer Institute",

issn = "0027-8874",

publisher = "Oxford University Press",

number = "6",

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TY - JOUR

T1 - Identifying Preferred Breast Cancer Risk Predictors

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AU - Etzioni, Ruth

AU - Shen, Yu

AU - Shih, Ya Chen Tina

PY - 2021/6/1

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AN - SCOPUS:85107390940

SN - 0027-8874

VL - 113

SP - 660

EP - 661

JO - Journal of the National Cancer Institute

JF - Journal of the National Cancer Institute

IS - 6

ER -

Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective

ASJC Scopus subject areas

MD Anderson CCSG core facilities

Access to Document

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