Results 11 to 20 of about 192,913 (255)

Regression trees and ensembles for cumulative incidence functions [PDF]

open access: yesThe International Journal of Biostatistics, 2022
Abstract The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past two decades. The problems of modeling, estimation and inference have been treated using parametric, nonparametric and semi-parametric methods ...
Cho, Youngjoo   +3 more
openaire   +5 more sources

Competing risks analysis of patients with Brain Stroke: a comparison of two different approaches

open access: yesJournal of Biostatistics and Epidemiology, 2022
Objectives: Cumulative incidence function (CIF) measures the survival time of a particular hazard in the presence of others, while cause-specific (CS) one ignores the competing risks.
Solmaz Norouzi   +4 more
doaj   +1 more source

Cancer- and noncancer-specific cumulative incidence of death after exposure to polychlorinated biphenyls and dioxins: A competing risk analysis among Yusho patients

open access: yesEnvironment International, 2021
Background: In competing risks settings, the cause-specific cumulative incidence function is of great interest since it quantifies cumulative risk in the presence of other causes.
Daisuke Onozuka   +3 more
doaj   +1 more source

A competing risk analysis of colorectal cancer recurrence after curative surgery

open access: yesBMC Gastroenterology, 2022
Background This study examines the effect of prognostic patient and disease characteristics on colorectal cancer (CRC) recurrence after curative resection. We used competing risk analysis with death as a competing risk. This method provides the clinician
Angela E. Schellenberg   +2 more
doaj   +1 more source

Parametric regression on cumulative incidence function [PDF]

open access: yesBiostatistics, 2006
We propose parametric regression analysis of cumulative incidence function with competing risks data. A simple form of Gompertz distribution is used for the improper baseline subdistribution of the event of interest. Maximum likelihood inferences on regression parameters and associated cumulative incidence function are developed for parametric models ...
Jong-Hyeon, Jeong, Jason P, Fine
openaire   +2 more sources

Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution

open access: yesStatistica, 2021
In this paper we deal with the modelling of cumulative incidence function using improper Gompertz distribution based on middle censored competing risks survival data. Together with the unknown parameters, cumulative incidence function also estimated.
Habbiburr Rehman, Navin Chandra
doaj   +1 more source

Revisiting the cumulative incidence function with competing risks data

open access: yesJournal of the Royal Statistical Society Series C: Applied Statistics, 2023
AbstractWe consider estimation of the cumulative incidence function (CIF) in the competing risks Cox model. We study three methods. Methods 1 and 2 are existing methods while method 3 is a newly proposed method. Method 3 is constructed so that the sum of the CIF’s across all event types at the last observed event time is guaranteed, assuming no ties ...
David M Zucker, Malka Gorfine
openaire   +2 more sources

Weighted Competing Risks Quantile Regression Models and Variable Selection

open access: yesMathematics, 2023
The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevant covariates in
Erqian Li   +6 more
doaj   +1 more source

Relationship between Cytomegalovirus Viremia and Long-Term Outcomes in Kidney Transplant Recipients with Different Donor Ages

open access: yesMicroorganisms, 2023
Objectives: To explore the Cytomegalovirus (CMV) burden on the long-term post-transplant course in different donor ages, we evaluated the incidence and risk factors for CMV in our kidney-transplanted patients (KTs) with extensive adoption of expanded ...
Davide Diena   +12 more
doaj   +1 more source

Comparing center-specific cumulative incidence functions [PDF]

open access: yesLifetime Data Analysis, 2015
The competing risks data structure arises frequently in clinical and epidemiologic studies. In such settings, the cumulative incidence function is often used to describe the ultimate occurrence of a particular cause of interest. If the objective of the analysis is to compare subgroups of patients with respect to cumulative incidence, imbalance with ...
Fan, Ludi, Schaubel, Douglas E.
openaire   +3 more sources

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