Results 1 to 10 of about 851,409 (271)

Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts [PDF]

Indian Journal of Psychological Medicine, 2023
Survival analysis is used to analyze data from patients who are followed for different periods of time and in whom the outcome of interest, a dichotomous event, may or may not have occurred at the time the study is halted; data from all patients are used
Chittaranjan Andrade
doaj   +2 more sources

Partial-linear single-index Cox regression models with multiple time-dependent covariates [PDF]

BMC Medical Research Methodology
Background In cohort studies with time-to-event outcomes, covariates of interest often have values that change over time. The classical Cox regression model can handle time-dependent covariates but assumes linear effects on the log hazard function, which
Myeonggyun Lee, Andrea B. Troxel, Sophia Kwon, George Crowley, Theresa Schwartz, Rachel Zeig-Owens, David J. Prezant, Anna Nolan, Mengling Liu   +8 more
doaj   +2 more sources

Dynamic biomarkers and Cox regression with time-dependent covariate for mortality prediction in severe fever with thrombocytopenia syndrome. [PDF]

Sci Rep
Woo HJ, Heo ST, Yoo JR, Kim M, Oh J, Bae IG, Bae S, Yoon YR, Hwang JH, Hyun M, Kim HA, Jung SI, Kwon KT, Hwang S, Kim UJ, Kang G, Kim YJ, Yun JH, Kim TE, Kwon TK, Kim MG.   +20 more
europepmc   +3 more sources

Mortality prediction and influencing factors for intensive care unit patients with acute tubular necrosis: random survival forest and cox regression analysis [PDF]

Frontiers in Pharmacology
Background: Patients with acute tubular necrosis (ATN) not only have severe renal failure, but also have many comorbidities, which can be life-threatening and require timely treatment.
Jinping Zeng, Min Zhang, Jiaolan Du, Junde Han, Qin Song, Ting Duan, Jun Yang, Yinyin Wu   +7 more
doaj   +2 more sources

Construction and evaluation of a risk model for adverse outcomes of necrotizing enterocolitis based on LASSO-Cox regression. [PDF]

Front Pediatr
Zhang H, Yang R, Yao Y.
europepmc   +2 more sources

Comparison of machine learning methods versus traditional Cox regression for survival prediction in cancer using real-world data: a systematic literature review and meta-analysis. [PDF]

BMC Med Res Methodol
Huang Y, Bazzazzadehgan S, Li J, Arabshomali A, Li M, Bhattacharya K, Bentley JP.   +6 more
europepmc   +3 more sources

Features of using Cox regression in various instrumental environments

Вестник университета, 2022
The presence of large amounts of data in information and analytical systems makes it necessary to study them using machine learning and artificial intelligence methods.
I. V. Kramarenko, L. A. Konstantinova
doaj   +1 more source

Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes [PDF]

PeerJ, 2020
Background Pancreatic cancer (PC) has much weaker prognosis, which can be divided into diabetes and non-diabetes. PC patients with diabetes mellitus will have more opportunities for physical examination due to diabetes, while pancreatic cancer patients ...
Mingjun Yang, Boni Song, Juxiang Liu, Zhitong Bing, Yonggang Wang, Linmiao Yu   +5 more
doaj   +2 more sources

Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method

Jurnal Ilmu Keuangan dan Perbankan, 2022
The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile ...
Vitri Aprilla Handayani*, Widya Reza, Andini Setyo Anggraeni, Garry Rusmadi   +3 more
doaj   +1 more source

Sinusoidal Cox Regression—A Rare Cancer Example

Cancer Informatics, 2010
Evidence of an association between survival time and date of birth would suggest an etiologic role for a seasonally variable environmental exposure occurring within a narrow perinatal time period.
Jimmy Thomas Efird
doaj   +2 more sources