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Proportional Hazards in Information Security
Risk Analysis, 2005Nonparametric methods can be used to analyze failure times and estimate probability distributions for failures of systems due to successful attacks on confidentiality, integrity, and availability in information security. However, such methods do not take full advantage of supplemental information regarding the configurations of systems in an ...
Julie J C H, Ryan, Daniel J, Ryan
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The Identifiability of the Proportional Hazard Model
The Review of Economic Studies, 1984Summary: This paper presents new identifiability conditions for the Cox proportional hazard model [see \textit{D. R. Cox}, J. R. Stat. Soc., Ser. B 34, 187-220 (1972; Zbl 0243.62041)] for duration data when unobserved person specific variables are present. We compare our conditions with those presented by \textit{C. Elbers} and \textit{G. Ridder} [Rev.
Heckman, J., Singer, B.
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Analysis of noisy survival data with graphical proportional hazards measurement error models
Biometrics, 2020In survival data analysis, the Cox proportional hazards (PH) model is perhaps the most widely used model to feature the dependence of survival times on covariates. While many inference methods have been developed under such a model or its variants, those
Li‐Pang Chen +3 more
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Nonidentified Responses in a Proportional Hazards Setting
Biometrics, 1994Nonidentified response (NR), an important form of nonindependent censoring, is modelled in a proportional hazards setting. Methods to test for existence of and identify NR censored observations are developed. Incorporation of NR censoring information into appropriate algorithms can improve parameter and underlying baseline hazard estimation ...
Hoover, Donald R., He, Yanhua
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2008
The estimation of duration models has been the subject of significant research in econometrics since the late 1970s. Cox (1972) proposed the use of proportional hazard models in biostatistics and they were soon adopted for use in economics. Since Lancaster (1979), it has been recognized among economists that it is important to account for unobserved ...
Jerry A. Hausman, Tiemen M. Woutersen
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The estimation of duration models has been the subject of significant research in econometrics since the late 1970s. Cox (1972) proposed the use of proportional hazard models in biostatistics and they were soon adopted for use in economics. Since Lancaster (1979), it has been recognized among economists that it is important to account for unobserved ...
Jerry A. Hausman, Tiemen M. Woutersen
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A hybrid repair-replacement policy in the proportional hazards model
European Journal of Operational Research, 2022Rui Zheng, Jingjing Wang, Yingzhi Zhang
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2011
This chapter discusses the most widely used regression models in competing risks. Following an introduction in Section 5.1, Section 5.2 discusses proportional cause-specific hazards models, and Section 5.3 discusses the proportional subdistribution hazards model. The cause-specific hazards are as defined in Chapter 3.
Jan Beyersmann +2 more
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This chapter discusses the most widely used regression models in competing risks. Following an introduction in Section 5.1, Section 5.2 discusses proportional cause-specific hazards models, and Section 5.3 discusses the proportional subdistribution hazards model. The cause-specific hazards are as defined in Chapter 3.
Jan Beyersmann +2 more
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Biometrika, 1996
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Proportional Hazards Regression
2002AbstractThis chapter relaxed the parametrically restrictive parameterization for time considered in Chapter 8, adopting instead a nonparametric set of models in which the exact form for the effect of time was left as an arbitrary function. This proportional hazards (or Cox) model provides a very rich framework for data analysis, enabling not only the ...
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