Literature DB >> 23167398

Development of a sampling strategy and sample size calculation to estimate the distribution of mammographic breast density in Korean women.

Jae Kwan Jun1, Mi Jin Kim, Kui Son Choi, Mina Suh, Kyu-Won Jung.   

Abstract

Mammographic breast density is a known risk factor for breast cancer. To conduct a survey to estimate the distribution of mammographic breast density in Korean women, appropriate sampling strategies for representative and efficient sampling design were evaluated through simulation. Using the target population from the National Cancer Screening Programme (NCSP) for breast cancer in 2009, we verified the distribution estimate by repeating the simulation 1,000 times using stratified random sampling to investigate the distribution of breast density of 1,340,362 women. According to the simulation results, using a sampling design stratifying the nation into three groups (metropolitan, urban, and rural), with a total sample size of 4,000, we estimated the distribution of breast density in Korean women at a level of 0.01% tolerance. Based on the results of our study, a nationwide survey for estimating the distribution of mammographic breast density among Korean women can be conducted efficiently.

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Year:  2012        PMID: 23167398     DOI: 10.7314/apjcp.2012.13.9.4661

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Prevalence of Women with Dense Breasts in Korea: Results from a Nationwide Cross-sectional Study.

Authors:  Hye-Mi Jo; Eun Hye Lee; Kyungran Ko; Bong Joo Kang; Joo Hee Cha; Ann Yi; Hae Kyoung Jung; Jae Kwan Jun
Journal:  Cancer Res Treat       Date:  2019-01-29       Impact factor: 4.679

2.  Does breast density measured through population-based screening independently increase breast cancer risk in Asian females?

Authors:  Boyoung Park; Hye Mi Cho; Eun Hye Lee; Seunghoon Song; Mina Suh; Kui Son Choi; Bong Joo Kang; Kyungran Ko; Ann Yi; Hae Kyoung Jung; Joo Hee Cha; Jae Kwan Jun
Journal:  Clin Epidemiol       Date:  2017-12-28       Impact factor: 4.790

  2 in total

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