The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer
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DOI: 10.1371/journal.pone.0237332
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- Stacey L Tannenbaum & Monique Hernandez & D Dandan Zheng & Daniel A Sussman & David J Lee, 2014. "Individual- and Neighborhood-Level Predictors of Mortality in Florida Colorectal Cancer Patients," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
- Warnecke, R.B. & Oh, A. & Breen, N. & Gehlert, S. & Paskett, E. & Tucker, K.L. & Lurie, N. & Rebbeck, T. & Goodwin, J. & Flack, J. & Srinivasan, S. & Kerner, J. & Heurtin-Roberts, S. & Abeles, R. & Ty, 2008. "Approaching health disparities from a population perspective: The National Institutes of Health Centers for Population Health and Health Disparities," American Journal of Public Health, American Public Health Association, vol. 98(9), pages 1608-1615.
- Geronimus, A.T. & Hicken, M. & Keene, D. & Bound, J., 2006. ""Weathering" and age patterns of allostatic load scores among blacks and whites in the United States," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 826-833.
- Hill, Terrence D. & Angel, Ronald J., 2005. "Neighborhood disorder, psychological distress, and heavy drinking," Social Science & Medicine, Elsevier, vol. 61(5), pages 965-975, September.
- Patrick J. Heagerty & Thomas Lumley & Margaret S. Pepe, 2000. "Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker," Biometrics, The International Biometric Society, vol. 56(2), pages 337-344, June.
- Shannon M Lynch & Nandita Mitra & Michelle Ross & Craig Newcomb & Karl Dailey & Tara Jackson & Charnita M Zeigler-Johnson & Harold Riethman & Charles C Branas & Timothy R Rebbeck, 2017. "A Neighborhood-Wide Association Study (NWAS): Example of prostate cancer aggressiveness," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
- Michał Kiciński & Jaco Vangronsveld & Tim S Nawrot, 2011. "An Epidemiological Reappraisal of the Familial Aggregation of Prostate Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-7, October.
- Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
- Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
- Diez Roux, Ana V., 2004. "Estimating neighborhood health effects: the challenges of causal inference in a complex world," Social Science & Medicine, Elsevier, vol. 58(10), pages 1953-1960, May.
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- Anna Kimberly Miller & Jennifer Catherine Gordon & Jacqueline W. Curtis & Jayakrishnan Ajayakumar & Fredrick R. Schumacher & Stefanie Avril, 2022. "The Geographic Context of Racial Disparities in Aggressive Endometrial Cancer Subtypes: Integrating Social and Environmental Aspects to Discern Biological Outcomes," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
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