Women's Health Weekly
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Breast Cancer
Researchers at University of Kansas publish new data on breast cancer
February 12th, 2009
According to recent research published in the journal Statistical Methods in Medical Research, "Measuring the benefit of screening mammography is difficult due to lead-time bias, length bias and over-detection. We evaluated the benefit of screening mammography in reducing breast cancer mortality using observational data from the SEER-Medicare linked database." "The conceptual model divided the disease duration into two phases: preclinical (T-0) and symptomatic (T-1) breast cancer. Censored information for the bivariate response vector (T-0, T-1) was observed and used to generate a likelihood function. However, the contribution to the likelihood function for some...
Source: Women's Health Weekly (2009-02-12)
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