Results 1 to 10 of about 1,167,728 (343)

Using competing risks model and competing events in outcome of pulmonary tuberculosis patients

International Journal of Mycobacteriology, 2016
Introduction: Although tuberculosis (TB) is curable, the rate of failure and mortality is high in comparison to other infectious diseases worldwide. It has been shown that majority of TB patients leave treatment before completing the therapeutic regimen.
Mehdi Kazempour Dizaji, Anoshirvan Kazemnejad, Payam Tabarsi, Farid Zayeri   +3 more
doaj   +2 more sources

Competing risks data in clinical oncology [PDF]

Frontiers in Oncology
Competing risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches.
Haesook Teresa Kim
doaj   +2 more sources

Structurally Dependent Competing Risks [PDF]

SSRN Electronic Journal, 2001
In this paper, we specify and estimate a structurally dependent competing risks model for the transitions out of unemployment into either new job or recall. The recall probability is allowed to affect the search intensity for new jobs.
Rosholm, M., Svarer, M.
openaire   +7 more sources

Special Issue about Competing Risks and Multi-State Models [PDF]

Journal of Statistical Software, 2011
There is a clear growing interest, at least in the statistical literature, in competing risks and multi-state models. With the rising interest in competing risks and multi-state models a number of software packages have been developed for the analysis of
Hein Putter
doaj   +1 more source

Competing Risks Analysis of the Finnish Diabetes Prevention Study [PDF]

CPT: Pharmacometrics & Systems Pharmacology
Clinical studies often observe one interesting event in the presence of other competing events. When both types of events can occur at any time but are only observed at clinical visits (i.e., interval censored), standard survival models may introduce ...
Moustafa M. A. Ibrahim, Matti Uusitupa, Jaakko Tuomilehto, Jaana Lindström, Maria C. Kjellsson, Mats O. Karlsson   +5 more
doaj   +2 more sources

Association of the triglyceride-glucose index with cardiovascular mortality risk and competing risks in arthritis patients. [PDF]

Sci Rep
Hei J, Cai D, Wang D, Rong F, Tao R.
europepmc   +3 more sources

Identification of a competing risks model with unknown transformations of latent failure times [PDF]

, 2005
This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Berwanger, Dietmar, Chatterjee, Krishnendu, De Wulf, Martin, Doyen, Laurent, Henzinger, Thomas A.   +4 more
core   +7 more sources

Nomogram model for predicting cause-specific mortality in patients with stage I small-cell lung cancer: a competing risk analysis

BMC Cancer, 2020
Background The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses.
Jianjie Li, Qiwen Zheng, Xinghui Zhao, Jun Zhao, Tongtong An, Meina Wu, Yuyan Wang, Minglei Zhuo, Jia Zhong, Xue Yang, Bo Jia, Hanxiao Chen, Zhi Dong, Jingjing Wang, Yujia Chi, Xiaoyu Zhai, Ziping Wang   +16 more
doaj   +1 more source

Estimation of Dependent Competing Risks Model with Baseline Proportional Hazards Models under Minimum Ranked Set Sampling

Mathematics, 2023
The ranked set sampling (RSS) is an efficient and flexible sampling method. Based on a modified RSS named minimum ranked set sampling samples (MinRSSU), inference of a dependent competing risks model is proposed in this paper.
Ying Zhou, Liang Wang, Tzong-Ru Tsai, Yogesh Mani Tripathi   +3 more
doaj   +1 more source

Incorporating competing risk theory into evaluations of changes in cancer survival: making the most of cause of death and routinely linked sociodemographic data

BMC Public Health, 2020
Background Relative survival is the most common method used for measuring survival from population-based registries. However, the relative survival concept of ‘survival as far as the cancer is concerned’ can be biased due to differing non-cancer risk of ...
Cameron M. Wright, Anna K. Nowak, Georgia Halkett, Rachael E. Moorin   +3 more
doaj   +1 more source