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Regression trees and ensembles for cumulative incidence functions [PDF]
The 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
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Competing risks analysis of patients with Brain Stroke: a comparison of two different approaches
Journal 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
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Environment 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
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A competing risk analysis of colorectal cancer recurrence after curative surgery
BMC 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
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Frontiers in Oncology, 2022 BackgroundWhile bone metastasis is not common in gastric adenocarcinoma (GaC), it can have important impacts on prognosis. This large cohort study aimed at exploring factors associated with bone metastasis in GaC and investigating the time-dependent ...
Lei Huang +7 more
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Parametric regression on cumulative incidence function [PDF]
Biostatistics, 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
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Comparing center-specific cumulative incidence functions [PDF]
Lifetime 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.
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Evaluation and Diagnosis of Prognostic Factors Affecting the Survival of Leukemia Patients Using Cumulative Incidence Function [PDF]
Middle East Journal of Cancer, 2023 Background: Acute lymphoblastic leukemia (ALL) accounts for 25% of cancers among children less than 15 years of age. This study aimed to evaluate and determine the prognostic factors affecting the survival of leukemia patients using cumulative incidence ...
Hamid Reza Khalkhali +7 more
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Statistica, 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
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Weighted Competing Risks Quantile Regression Models and Variable Selection
Mathematics, 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
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