Unconditional and conditional competing risk models of activity duration and activity sequencing decisions: An empirical comparison

2002 ◽  
Vol 4 (2) ◽  
pp. 157-170 ◽  
Author(s):  
Peter T.L. Popkowski Leszczyc ◽  
Harry Timmermans
Keyword(s):  
Competing Risk ◽  
Empirical Comparison ◽  
Risk Models ◽  
Activity Duration ◽  
Competing Risk Models

Estimation of Distribution Function in Bivariate Competing Risk Models

2006 ◽  
Vol 48 (3) ◽  
pp. 399-410 ◽  
Author(s):  
P. G. Sankaran ◽  
J. F. Lawless ◽  
B. Abraham ◽  
Ansa Alphonsa Antony
Keyword(s):  
Distribution Function ◽  
Competing Risk ◽  
Risk Models ◽  
Estimation Of Distribution ◽  
Competing Risk Models

scholarly journals Evaluation of risk factors in patients with breast cancer in stages III and IV: comparison of Cox and Fine-Grey competing risk regression models

2018 ◽  
Vol 5 (02) ◽  
pp. 2022-2033
Author(s):  
Monireh Dehghani Arani ◽  
Alireza Abadi ◽  
Aarvin Yavari ◽  
Yousef Bashiri ◽  
Liley Mahmudi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cox Regression ◽  
Cox Model ◽  
Parametric Model ◽  
Hazard Ratio ◽  
Competing Risk ◽  
Age Group ◽  
Risk Models ◽  
Cancer Data ◽  
Competing Risk Models

Introduction: The aim of this study is to fit Fine-Grey competing risk model and compare its results with stratified Cox model and to examine its application in breast cancer data. Methods: The study was conducted on 15830 women diagnosed with breast cancer in British Columbia, Canada. They were divided into four groups according to patients' stage of disease then for patients with stage III and IV breast cancer was fitted Cox's model and Fine-Grey competing risk flexible models to each group. Results: The data show that Out of 1888 patients, 578 lied in the age group of below 50 years old, while 1310 were above 50 years of age. The results obtained from fitting stratified Cox regression model indicate that the variables of age and surgery are significant. The patients in the age group of below 50 years old have 70% less hazard in comparison with people older than 50 years of age (HR=0.83). Further, the patients receiving surgery have 38% less hazard in comparison with the patients not receiving surgery (HR=0.62). Then we fit Fine-Grey competing risk models. the variable of chemotherapy is significant in both parametric and semi-parametric competing risk models, and its hazard ratio is HR=1.15 and HR=1.14 in the two models, respectively. On the other hand, the variable of age has not become significant in any of the models, and its hazard ratio is HR=0.92 and HR=0.93, respectively. The variable of surgery in the competing risk parametric model is significant with an HR of 0.67. In Cox model, the variable of surgery is also significant with HR=0.62. Moreover, the variable of age in the competing risk parametric model has not become significant (HR=0.92), and in contrast the variable of age in the Cox model is significant (HR=0.83). Conclusion: The results of this study show that Considering the comparison of the two models, it is observed that regardless of the properties of competing risk data, estimations of hazard ratio and the extent of significance resulting from Cox models are different from those of competing risk models.   

scholarly journals Identification of a class of index models: A topological approach

2020 ◽  
Author(s):  
Mogens Fosgerau ◽  
Dennis Kristensen
Keyword(s):  
Competing Risk ◽  
Nonparametric Identification ◽  
Random Utility ◽  
Risk Models ◽  
Topological Approach ◽  
Novel Approach ◽  
Support Conditions ◽  
Competing Risk Models ◽  
Weaker Conditions ◽  
Proof Strategy

Summary We establish nonparametric identification in a class of so-called index models by using a novel approach that relies on general topological results. Our proof strategy requires substantially weaker conditions on the functions and distributions characterising the model than those required by existing strategies; in particular, it does not require any large-support conditions on the regressors of our model. We apply the general identification result to additive random utility and competing risk models.

scholarly journals Identifying Factors Affecting Cancer-related Death in Patients with Adenocarcinoma Gastric Cancer; An Analysis in the Presence of Competing Risks

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Malihe Safari ◽  
Hossein Mahjub ◽  
Habib Esmaeili ◽  
Mohamad Abasi ◽  
Ghodratollah Roshanaei
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Competing Risk ◽  
Risk Models ◽  
Subdistribution Hazard ◽  
Factors Affecting ◽  
Competing Risk Models ◽  
Gastric Cancer Patients

Background: Adenocarcinoma is the most common type of gastric cancer that has shorter survival than other types of gastric cancer. The death of patients with this type of cancer may be due to the progression of cancer or other related causes. Objectives: The aim of this study is to determine the factors affecting death due to the cancer progression in gastric cancer patients with the diagnosis of adenocarcinoma, using competing risk models. Methods: This retrospective cohort study was performed on 306 gastric cancer patients diagnosed with adenocarcinoma referring to Imam Khomeini clinic in Hamadan from 2002 to 2017. Death due to the cancer progression was considered an interest event and death due to without progression as a competing event. To determine the effect of covariates on hazard, the cause-specific and subdistribution hazard regression models were used. Data analysis was performed, using R3.6.1 software and cmprsk and survival packages. Results: The mean (SD) age of patients was 62.3 (12.5) years and 74.3% were male. The effect of the stage, the number of involved lymphomas, and the type of treatment were significant on the hazard of death due to the disease progression in both cause-specific and subdistribution hazard models. Conclusions: The results showed that most deaths occur in the first 3 years of follow-up. The higher stage and higher number of lymph nodes have increased the hazard of death but supplementary treatment significantly decreased the hazard of death due to cancer progression in adenocarcinoma gastric cancer patients in both competing risk models.

scholarly journals Co-existence of Hypertension and Pre-existing Cardiovascular Disease and Mortality in Patients on Continuous Ambulatory Peritoneal Dialysis

2020 ◽  
Author(s):  
Xiaoyang Wang ◽  
Xiaojiang Zhan ◽  
Qing Zhou ◽  
Xiaoran Feng ◽  
FenFen Peng ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Harmful Effect ◽  
Competing Risk ◽  
Control Group ◽  
Risk Models ◽  
All Cause Mortality ◽  
Competing Risk Models ◽  
Cvd Mortality

Abstract Background Little is known about whether co-existence of hypertension (HTN) and pre-existing cardiovascular disease (CVD) has a more harmful effect on mortality compared with either comorbidity alone in patients on continuous ambulatory peritoneal dialysis (CAPD). Methods We conducted a retrospective study of 3073 incident Chinese patients on CAPD from five dialysis centers between January 1, 2005 and December 31, 2018 in a real-world setting. The primary and secondary outcomes were all-cause and CVD mortality. The association between interesting comorbidities and mortality was analyzed using Cox regression models and the Fine and Gray competing risk models. Results Over a median of 33.7 months of follow-up, 581 (18.6%) patients died, with 286 (9.3%) CVD mortality. The incidence of all-cause mortality was 32.2, 56.1, 74.4, and 131.0/1000 patient-years, and the incidence of CVD mortality was 15.0, 28.2, 34.7, and 69.6/1000 patient-years in the control group (those without either hypertension or CVD), HTN group, CVD group, and HTN plus CVD group respectively. After adjusting for the confounding factors, HTN plus CVD, CVD, and HTN groups had a higher risk of all-cause mortality (HR 3.98, 95% CI 3.07 to 5.17; HR 2.18, 95% CI 1.27 to 3.74; and HR 1.83, 95% CI 1.47 to 2.28) and CVD mortality (HR 4.68, 95% CI 3.27 to 6.69; HR 2.11, 95% CI 0.96 to 4.63; and HR 1.87, 95% CI 1.37 to 2.54), respectively, compared to the control group. Similar findings were observed using the Fine and Gray competing risk models. There was no significant interaction between HTN and CVD on all-cause and CVD mortality (β = 0.010, P = 0.973; β = 0.058, P = 0.892) in the study population. Conclusions Among CAPD patients, co-existence of HTN and pre-existing CVD at the start of CAPD had a more harmful effect on mortality compared to either HTN or pre-existing CVD alone, and pre-existing CVD may have also a more harmful effect on mortality than HTN.

Clinical Trial Data Analysis Using Competing Risk Models

2012 ◽  
Vol 3 (8) ◽  
pp. 152-154
Author(s):  
Vallinayagam V Vallinayagam V ◽  
◽  
Tamizhselvan M Tamizhselvan M ◽  
Venkatesan P Venkatesan P
Keyword(s):  
Clinical Trial ◽  
Data Analysis ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Competing Risk ◽  
Risk Models ◽  
Competing Risk Models
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