Abstract B01: Testing a multilevel risk prediction model in high risk men enrolled in a prostate cancer early detection program

Conclusion: This study is the first to investigate the role of neighborhood in PCa risk prediction. While risk prediction models show little change, significant neighborhood effects in multilevel models warrant additional study and could inform future health disparity studies.Citation Format: Shannon M. Lynch, Elizabeth Handorf, Elizabeth Blackman, Lisa Bealin, Shiju Daniel, Veda N. Giri, Elias Obeid, Camille Ragin, Mary B. Daly. Testing a multilevel risk prediction model in high risk men enrolled in a prostate cancer early detection program. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr B01.

Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Lynch, S. M., Handorf, E., Blackman, E., Bealin, L., Daniel, S., Giri, V. N., Obeid, E., Ragin, C., Daly, M. B. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research