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viors of energy balance relevant to breast cancer epidemiology (e.g. physical activity and circadian patterns). As one may expect with diseases of long latency such as breast cancer and for studies of environmental exposures, there are challenges to these spatial analyses of breast cancer environmenPhonophobia 发表于 2025-3-24 11:15:55
Jens Vorbeck,Ina Finkeient air pollutants, and the intersection between the two in time and space to form a basis for future risk analyses. Key findings suggest the importance of careful attention to data quality, to assumptions about data gaps, and the influence of modeling decisions. Nonetheless, these efforts show pro因无茶而冷淡 发表于 2025-3-24 18:05:20
Peter Heisig,Jens Vorbeck,Johannes Niebuhrl “nonspatial” statistical methods are still most commonly used to describe and understand the burden of breast cancer, and the relative contribution of social and geographic disparities. In this chapter, we seek to better understand how geospatial methods are being applied to understand the epidemi熔岩 发表于 2025-3-24 21:45:32
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