Breast Cancer
Data on Breast Cancer Reported by T.M. Kuo and Co-Researchers
Published in Women's Health Weekly, May 26th, 2011
2011 MAY 26 -- According to recent research from Research Triangle Park, United States, "Using cancer registry data for the population of California women aged 67+ with breast cancers, we estimated random intercept logistic models to examine how two socio-ecological predictors (residential isolation and poverty) were associated with probability of late-stage diagnosis for breast cancer."
"Using the multilevel modeling results, we calculated fully adjusted predicted probabilities associated with women in each Medical Service Study Area (MSSA) in California and classified the areas into two distinct groups: MSSAs with predicted rates below the 25th percentile...
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