Table_6.xls (9.5 kB)
Download fileOrdinary Least Squares (QLS) model for socioeconomic factors and breast cancer incidence.
dataset
posted on 2015-02-17, 03:09 authored by Xufeng Fei, Jiaping Wu, Zhe Kong, George ChristakosPD: population density, PNA: percentage of non-agriculture population, SIO: second industry output, PET: percentage of population employed in tertiary industry, EDU: average years of education, PEP: percentage of population employed in primary industry, PU: percentage of unemployed (unemployment rate), PES: percentage of population employed in second industry, PI: percentage of illiteracy (illiteracy rate), PIO: primary industry output, BC: Breast cancer incidence.
** Correlation is significant at the 0.01 level (2-tailed).
Ordinary Least Squares (QLS) model for socioeconomic factors and breast cancer incidence.
History
Usage metrics
Read the peer-reviewed publication
Categories
Keywords
factorSocioeconomic Risk Factorsindustry outputpopulation densityPearson correlationbreast cancer incidenceapcregionChinese womencancer incidenceChina Breast cancerChinese cancer registrybreast cancer screening programolspopulation 2000 censusbreast cancerpercentage changebreast cancer etiologymammography screeningbreast cancer disparity
CC BY 4.0