scholarly journals Schur-concave survival functions and survival analysis

1993 ◽  
Vol 46 (3) ◽  
pp. 437-447 ◽  
Author(s):  
Richard E. Barlow ◽  
Fabio Spizzichino
1988 ◽  
Vol 25 (03) ◽  
pp. 630-635 ◽  
Author(s):  
Anatoli Yashin ◽  
Elja Arjas

Failure intensities in which the evaluation of hazard is based on the observation of an auxiliary random process have become very popular in survival analysis. While their definition is well known, either as the derivative of a conditional failure probability or in the counting process and martingale framework, their relationship to conditional survival functions does not seem to be equally well understood. This paper gives a set of necessary and sufficient conditions for the so-called exponential formula in this context.


2019 ◽  
Vol 39 (8) ◽  
pp. 899-909 ◽  
Author(s):  
Helen Bell Gorrod ◽  
Ben Kearns ◽  
John Stevens ◽  
Praveen Thokala ◽  
Alexander Labeit ◽  
...  

Objectives. In June 2011, the National Institute for Health and Care Excellence (NICE) Decision Support Unit published a Technical Support Document (TSD) providing recommendations on survival analysis for NICE technology appraisals (TAs). Survival analysis outputs are influential inputs into economic models estimating the cost-effectiveness of new cancer treatments. Hence, it is important that systematic and justifiable model selection approaches are used. This study investigates the extent to which the TSD recommendations have been followed since its publication. Methods. We reviewed NICE cancer TAs completed between July 2011 and July 2017. Information on survival analyses undertaken and associated critiques for overall survival (OS) and progression-free survival were extracted from the company submissions, Evidence Review Group (ERG) reports, and final appraisal determination documents. Results. Information was extracted from 58 TAs. Only 4 (7%) followed all TSD recommendations for OS outcomes. The vast majority (91%) compared a range of common parametric models and assessed their fit to the data (86%). Only a minority of TAs included an assessment of the shape of the hazard function (38%) or proportional hazards assumption (40%). Validation of the extrapolated portion of the survival function using external data was attempted in a minority of TAs (40%). Extrapolated survival functions were frequently criticized by ERGs (71%). Conclusions. Survival analysis within NICE TAs remains suboptimal, despite publication of the TSD. Model selection is not undertaken in a systematic way, resulting in inconsistencies between TAs. More attention needs to be given to assessing hazard functions and validation of extrapolated survival functions. Novel methods not described in the TSD have been used, particularly in the context of immuno-oncology, suggesting that an updated TSD may be of value.


2011 ◽  
Vol 6 (1) ◽  
pp. 99-110 ◽  
Author(s):  
Polona Pašič ◽  
Alenka Kavkler ◽  
Darja Boršič

Gender Disparities in the Duration of Unemployment Spells in SloveniaThe paper offers an overview of labor market characteristics in Slovenia with an emphasis on gender disparities. A survival analysis is conducted based on an extensive database obtained from the Employment Office of the Republic of Slovenia of more than 450,000 unemployment incidences between January 2004 and July 2008. Kaplan-Meier estimates of survival functions show specific disparities among unemployed women and men in Slovenia. Unemployed men are better off when re-entering the labor market as they are re-employed more quickly than women.


1988 ◽  
Vol 25 (3) ◽  
pp. 630-635 ◽  
Author(s):  
Anatoli Yashin ◽  
Elja Arjas

Failure intensities in which the evaluation of hazard is based on the observation of an auxiliary random process have become very popular in survival analysis. While their definition is well known, either as the derivative of a conditional failure probability or in the counting process and martingale framework, their relationship to conditional survival functions does not seem to be equally well understood. This paper gives a set of necessary and sufficient conditions for the so-called exponential formula in this context.


2020 ◽  
Vol 67 (6) ◽  
pp. 712-722
Author(s):  
Sebastian Gmeinwieser ◽  
Kai Sebastian Schneider ◽  
Maximilian Bardo ◽  
Timo Brockmeyer ◽  
York Hagmayer

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