Bayesian Method for Modeling Male Breast Cancer Survival Data

Hafiz Mohammad Rafiqullah Khan; Anshul Saxena; Sagar Rana; Nasar Uddin Ahmed

doi:10.7314/APJCP.2014.15.2.663

Bayesian Method for Modeling Male Breast Cancer Survival Data

Hafiz Mohammad Rafiqullah Khan, Anshul Saxena, Sagar Rana, Nasar Uddin Ahmed

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.2014.15.2.663
State	Published - Jan 30 2014

Disciplines

Medicine and Health Sciences
Statistics and Probability
Obstetrics and Gynecology

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@article{e91db9d573eb48fd8565df705c8795a2,

title = "Bayesian Method for Modeling Male Breast Cancer Survival Data",

author = "Khan, {Hafiz Mohammad Rafiqullah} and Anshul Saxena and Sagar Rana and Ahmed, {Nasar Uddin}",

note = "Bayesian Method for Modeling Male Breast Cancer Survival Data Breast cancer survival data;statistical inference;Bayesian inference;exponentiated exponential; Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions.",

year = "2014",

month = jan,

day = "30",

doi = "10.7314/APJCP.2014.15.2.663",

language = "American English",

volume = "15",

journal = "Asian Pacific Journal of Cancer Prevention",

}

TY - JOUR

T1 - Bayesian Method for Modeling Male Breast Cancer Survival Data

AU - Khan, Hafiz Mohammad Rafiqullah

AU - Saxena, Anshul

AU - Rana, Sagar

AU - Ahmed, Nasar Uddin

N1 - Bayesian Method for Modeling Male Breast Cancer Survival Data Breast cancer survival data;statistical inference;Bayesian inference;exponentiated exponential; Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions.

PY - 2014/1/30

Y1 - 2014/1/30

UR - http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2014_v15n2_663

U2 - 10.7314/APJCP.2014.15.2.663

DO - 10.7314/APJCP.2014.15.2.663

M3 - Article

VL - 15

JO - Asian Pacific Journal of Cancer Prevention

JF - Asian Pacific Journal of Cancer Prevention

ER -

Bayesian Method for Modeling Male Breast Cancer Survival Data

Disciplines

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