Competing Causes

2021 ◽  
pp. 156-171
Keyword(s):  
1999 ◽  
Author(s):  
Kelly Goedert-Eschmann ◽  
Barbara A. Spellman
Keyword(s):  

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1815
Author(s):  
Diego I. Gallardo ◽  
Mário de Castro ◽  
Héctor W. Gómez

A cure rate model under the competing risks setup is proposed. For the number of competing causes related to the occurrence of the event of interest, we posit the one-parameter Bell distribution, which accommodates overdispersed counts. The model is parameterized in the cure rate, which is linked to covariates. Parameter estimation is based on the maximum likelihood method. Estimates are computed via the EM algorithm. In order to compare different models, a selection criterion for non-nested models is implemented. Results from simulation studies indicate that the estimation method and the model selection criterion have a good performance. A dataset on melanoma is analyzed using the proposed model as well as some models from the literature.


2012 ◽  
Vol 15 (4) ◽  
pp. 321-326 ◽  
Author(s):  
Jaime Gómez-Millán ◽  
Maria Dolores Toledo ◽  
Yolanda Lupiañez ◽  
Antonio Rueda ◽  
Jose Manuel Trigo ◽  
...  

Author(s):  
Maria Koch ◽  
John Hanson ◽  
Herta Gaedke ◽  
Diane Wilson

BMC Urology ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christopher S. Hollenbeak ◽  
Eric W. Schaefer ◽  
Justin Doan ◽  
Jay D. Raman

Abstract Background Advances in systemic targeted therapies afford treatment opportunities in patients with metastatic renal cell carcinoma (RCC). Elderly patients with metastatic RCC present a subpopulation for consideration owing to competing causes of mortality and benefits seen with new therapeutic agents. We investigate treatment patterns for elderly patients with stage IV RCC and determine factors associated with not receiving treatment. Methods The Surveillance Epidemiology and End Results (SEER) Medicare linked data set contained 949 stage IV RCC patients over age 65 diagnosed between 2007 and 2011. Treatment approach was modeled using multinomial logistic regression. Landmark analysis at 6 months accounted for early death as a potential explanation for no treatment. Results Of the 949 patients with stage IV RCC, 26.2% received surgery and 34.1% received systemic therapy within 6 months of diagnosis. Among our entire cohort, over half (51.2%) had no evidence of receiving surgery or systemic therapy. Among the 447 patients who survived at least 6 months, 26.6% did not receive treatment during this time. Older patients and those with a higher Charlson Comorbidity Index (CCI) had lower odds of being treated with surgery, systemic therapy, or both. Conversely, married patients had higher odds of receiving these therapies. These associations were largely sustained in the 6-month landmark analyses. Conclusions Elderly patients with metastatic RCC present a unique subpopulation for consideration owing to competing causes of mortality. Many elderly patients with stage IV RCC did not receive surgery or systemic therapy up to 6 months from diagnosis. Several clinical and demographic factors were associated with this observation. Further investigation is needed to understand the rationale underlying the underutilization of systemic therapy in elderly patients.


Author(s):  
C.J. Beard ◽  
M. Chen ◽  
N.D. Arvold ◽  
P.L. Nguyen ◽  
A.K. Ng ◽  
...  

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