Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers-Reference-Cited by-同舟云学术

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Unsupervised clustering using multiple correspondence analysis reveals clinically-relevant demographic variables across multiple gastrointestinal cancers

Published:2024-03 Issue:1 Volume:1 Page:100009
ISSN:2950-2470
Container-title:Surgical Oncology Insight
language:en
Short-container-title:Surgical Oncology Insight

Author:

Kramer Ryan J.,Rhodin Kristen E.,Therien Aaron,Raman Vignesh,Eckhoff Austin,Thompson Camryn,Tong Betty C.,Blazer Dan G.,Lidsky Michael E.,D’Amico Thomas,Nussbaum Daniel P.

Publisher

Elsevier BV

Reference21 articles.

1. Estimating the economic burden of racial health inequalities in the United States;LaVeist;Int J Health Serv,2011

2. Setting a national agenda for surgical disparities research: recommendations from the National Institutes of Health and American College of Surgeons Summit;Haider;JAMA Surg,2016

3. Colorectal cancer disparities across the continuum of cancer care: a systematic review and meta-analysis;Syvyk;Am J Surg,2022

4. Understanding current racial/ethnic disparities in colorectal cancer screening in the United States: the contribution of socioeconomic status and access to care;Liss;Am J Prev Med,2014

5. Racial–ethnic disparities in late-stage colorectal cancer among hispanics and non-hispanic whites of New Mexico;Gonzales;Hisp Health Care Int,2017

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