The use of individual and multilevel data in the development of a risk prediction model to predict patients' likelihood of completing colorectal cancer screening

Authors

Amanda F Petrik, Kaiser Permanente Center for Health Research
Eric S Johnson, Kaiser Permanente Center for Health Research
Rajasekhara Mummadi, Kaiser Permanente Center for Health Research
Matthew Slaughter, Kaiser Permanente Center for Health Research
Gloria D Coronado, Kaiser Permanente Center for Health Research
Sunny C Lin, Washington University School of Medicine in St. Louis
Lucy Savitz, Kaiser Permanente Center for Health Research
Neal Wallace, Oregon Health & Science University

Journal

Preventive Medicine Reports

Publication Date

12-1-2023

Volume

36

First Page

102366

Document Type

Open Access Publication

DOI

10.1016/j.pmedr.2023.102366

Rights and Permissions

Petrik AF, Johnson ES, Mummadi R, Slaughter M, Coronado GD, Lin SC, Savitz L, Wallace N. The use of individual and multilevel data in the development of a risk prediction model to predict patients' likelihood of completing colorectal cancer screening. Prev Med Rep. 2023 Aug 11;36:102366. doi: 10.1016/j.pmedr.2023.102366. © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Petrik, Amanda F; Johnson, Eric S; Mummadi, Rajasekhara; Slaughter, Matthew; Coronado, Gloria D; Lin, Sunny C; Savitz, Lucy; and Wallace, Neal, "The use of individual and multilevel data in the development of a risk prediction model to predict patients' likelihood of completing colorectal cancer screening." Preventive Medicine Reports. 36, 102366 (2023).
https://digitalcommons.wustl.edu/oa_4/3134

Department

ICTS (Institute of Clinical and Translational Sciences)