
Applying Latent Class Analysis on Cancer Registry Data to Identify and Compare Health Disparity Profiles in Colorectal Cancer Surgical Treatment Delay
Author(s) -
Francisco Alejandro Montiel Ishino,
Emmanuel Odame,
Kevin Villalobos,
Martin Whiteside,
Hadii M. Mamudu,
Faustine Williams
Publication year - 2021
Publication title -
journal of public health management and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.771
H-Index - 50
eISSN - 1550-5022
pISSN - 1078-4659
DOI - 10.1097/phh.0000000000001341
Subject(s) - medicine , colorectal cancer , latent class model , context (archaeology) , cancer registry , marital status , residence , demography , cancer , public health , gerontology , population , environmental health , pathology , geography , statistics , mathematics , archaeology , sociology
Colorectal cancer (CRC) surgical treatment delay (TD) has been associated with mortality and morbidity; however, disparities by TD profiles are unknown.