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  • Search: subject:"parametric survival analysis"
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Year of publication
Subject
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parametric survival analysis 4 proportional hazards 3 proportional odds 3 Accelerated Failure Time (AFT) models 2 Credit risk 2 IFRS 9 2 Parametric survival analysis 2 Shared frailty models 2 hazard function 2 Bank 1 Bank branch establishment 1 Branch office 1 China 1 Duration analysis 1 Filiale 1 Firm performance 1 Flexible parametric survival analysis 1 IFRS 1 Insolvency 1 Insolvenz 1 KMU 1 Kreditrisiko 1 Research Methods/ Statistical Methods 1 SME 1 SME survival 1 Statistische Bestandsanalyse 1 Theorie 1 Theory 1 Unternehmenserfolg 1 frailty 1 heterogeneity 1 orthogonal basis functions 1 overdispersion 1 random effects 1 regression splines 1
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Online availability
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Free 6 Undetermined 1
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 6 Undetermined 1
Author
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Royston, Patrick 3 Bátiz-Zuk, Enrique 2 Mohamed, Abdulkadir 2 Sánchez-Cajal, Fátima 2 Gutierrez, Roberto G. 1 Sun, Ruohan 1 Zhang, Bing 1 Zhou, Nan 1
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Published in...
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Stata Journal 3 International review of financial analysis 1 Working Papers 1 Working papers 1
Source
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RePEc 3 ECONIS (ZBW) 2 BASE 1 EconStor 1
Showing 1 - 7 of 7
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Exploring the sources of loan default clustering using survival analysis with frailty
Bátiz-Zuk, Enrique; Mohamed, Abdulkadir; … - 2021
This paper investigates whether three microeconomic loan characteristics are sources of loan default clustering in the Mexican banking sector by employing survival analysis with frailty. Using a large sample of bank loan level data granted to micro, small and medium sized firms from January 2010...
Persistent link: https://www.econbiz.de/10013162020
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Cover Image
Exploring the sources of loan default clustering using survival analysis with frailty
Bátiz-Zuk, Enrique; Mohamed, Abdulkadir; … - 2021
This paper investigates whether three microeconomic loan characteristics are sources of loan default clustering in the Mexican banking sector by employing survival analysis with frailty. Using a large sample of bank loan level data granted to micro, small and medium sized firms from January 2010...
Persistent link: https://www.econbiz.de/10012625525
Saved in:
Cover Image
Can bank branch establishment help SMEs survive? : Evidence from China
Sun, Ruohan; Zhou, Nan; Zhang, Bing - In: International review of financial analysis 88 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014471987
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Flexible parametric alternatives to the Cox model: update
Royston, Patrick - In: Stata Journal 4 (2004) 1, pp. 98-101
Royston (2001)and Royston and Parmar (2002) introduced flexible parametric models for survival analysis, implemented in Stata through the ado-file stpm (Royston 2001). In the present article, stpm is updated to Stata 8.1 and has been shown to work correctly with Stata 8.2. To increase the...
Persistent link: https://www.econbiz.de/10005583257
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Parametric frailty and shared frailty survival models
Gutierrez, Roberto G. - In: Stata Journal 2 (2002) 1, pp. 22-44
Frailty models are the survival data analog to regression models, which account for heterogeneity and random effects. A frailty is a latent multiplicative effect on the hazard function and is assumed to have unit mean and variance theta, which is estimated along with the other model parameters....
Persistent link: https://www.econbiz.de/10005568783
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Flexible parametric alternatives to the Cox model, and more
Royston, Patrick - 2001
Since its introduction to a wondering public in 1972, the Cox proportional hazards regression model has become an overwhelmingly popular tool in the analysis of censored survival data. However, some features of the Cox model may cause problems for the analyst or an interpreter of the data. They...
Persistent link: https://www.econbiz.de/10009442279
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Flexible alternatives to the Cox model, and more
Royston, Patrick - In: Stata Journal 1 (2001) 1, pp. 1-28
Since its introduction to a wondering public in 1972, the Cox proportional hazards regression model has become an overwhelmingly popular tool in the analysis of censored survival data. However, some features of the Cox model may cause problems for the analyst or an interpreter of the data. They...
Persistent link: https://www.econbiz.de/10005568793
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