
Development and Validation of an Individualized Nomogram for Predicting Overall Survival in Patients With Typical Lung Carcinoid Tumors
Author(s) -
Shenghua Dong,
Jun Liang,
Wenxin Zhai,
Yu Zhang
Publication year - 2020
Publication title -
american journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.896
H-Index - 78
eISSN - 1537-453X
pISSN - 0277-3732
DOI - 10.1097/coc.0000000000000715
Subject(s) - nomogram , medicine , univariate , receiver operating characteristic , proportional hazards model , multivariate analysis , oncology , cohort , stage (stratigraphy) , survival analysis , concordance , univariate analysis , carcinoid tumors , multivariate statistics , statistics , biology , paleontology , mathematics
We aim to develop and validate an effective nomogram prognostic model for patients with typical lung carcinoid tumors using a large patient cohort from the Surveillance, Epidemiology, and End Results (SEER) database.