Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival

Hafiz Mohammad Rafiqullah Khan; Anshul Saxena; Kemesha Gabbidon; Elizabeth Ross; Alice Shrestha

doi:10.7314/APJCP.2014.15.14.5571

Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival

Hafiz Mohammad Rafiqullah Khan, Anshul Saxena, Kemesha Gabbidon, Elizabeth Ross, Alice Shrestha

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

Original language	American English
Journal	Asian Pacific Journal of Cancer Prevention
Volume	15
DOIs	https://doi.org/10.7314/APJCP.2014.15.14.5571
State	Published - Jul 30 2014

Disciplines

Medicine and Health Sciences
Demography, Population, and Ecology
Obstetrics and Gynecology

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@article{478ffe3707e64d9590078394d13a108a,

title = "Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival",

author = "Khan, \{Hafiz Mohammad Rafiqullah\} and Anshul Saxena and Kemesha Gabbidon and Elizabeth Ross and Alice Shrestha",

note = "Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival Breast cancer survival data;Bayesian inference;statistical models;survival inference; Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease.",

year = "2014",

month = jul,

day = "30",

doi = "10.7314/APJCP.2014.15.14.5571",

language = "American English",

volume = "15",

journal = "Asian Pacific Journal of Cancer Prevention",

}

TY - JOUR

T1 - Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival

AU - Khan, Hafiz Mohammad Rafiqullah

AU - Saxena, Anshul

AU - Gabbidon, Kemesha

AU - Ross, Elizabeth

AU - Shrestha, Alice

N1 - Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival Breast cancer survival data;Bayesian inference;statistical models;survival inference; Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease.

PY - 2014/7/30

Y1 - 2014/7/30

UR - http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2014_v15n14_5571

U2 - 10.7314/APJCP.2014.15.14.5571

DO - 10.7314/APJCP.2014.15.14.5571

M3 - Article

VL - 15

JO - Asian Pacific Journal of Cancer Prevention

JF - Asian Pacific Journal of Cancer Prevention

ER -

Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival

Disciplines

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