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Cure rate model with interval censored data
Statistics in Medicine, 2007AbstractIn cancer trials, a significant fraction of patients can be cured, that is, the disease is completely eliminated, so that it never recurs. In general, treatments are developed to both increase the patients' chances of being cured and prolong the survival time among non‐cured patients.
Yang-Jin, Kim, Myoungshic, Jhun
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Semiparametric analysis of transformation models with censored data
Biometrika, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, KN, Jin, ZZ, Ying, ZL
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1987
The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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Composite scale modeling in the presence of censored data
Reliability Engineering & System Safety, 2006A composite scale modeling approach can be used to combine several scales or variables into a single scale or variable. A typical application is to combine age and usage together to form a composite timescale model. The combined scale is expected to have better failure prediction capability than individual scales.
R. Jiang, Andrew K. S. Jardine
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Identifying and modelling prognostic factors with censored data
Statistics in Medicine, 2000A major issue in the analysis of diseases is the identification and assessment of prognostic factors relevant to the development of the illness. Statistical analyses within the proportional hazards framework suffer from a lack of flexibility due to stringent model assumptions such as additivity and time-constancy of effects.
A, Klinger, F, Dannegger, K, Ulm
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On constant-sum models for censored survival data
Biometrika, 1979SUMMARY Williams & Lagakos (1977) consider a class of models for censored survival data in which the censoring and survival mechanisms are related by what is called a constant-sum condition. It is shown that the constant-sum condition is equivalent to a simple relationship between hazard functions.
Kalbfleisch, J. D., MacKay, R. J.
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Piecewise Cox models with right-censored data
Communications in Statistics - Simulation and Computation, 2017ABSTRACTWe study a general class of piecewise Cox models. We discuss the computation of the semi-parametric maximum likelihood estimates (SMLE) of the parameters, with right-censored data, and a simplified algorithm for the maximum partial likelihood estimates (MPLE).
George Y. C. Wong +3 more
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Progressive Censoring: Data and Models
2014The notion of progressive censoring is explained by introducing progressive Type-I and Type-II censoring in detail. The presentation includes detailed descriptions of the procedures as well as graphical illustrations and data. Additionally, progressive hybrid censoring is discussed.
N. Balakrishnan, Erhard Cramer
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Modeling censored-in-the-middle condom use data
AIDS Care, 2005Many HIV prevention programs seek to reduce the risk of infection through increases in condom use. Condom use is often expressed as a proportion: the number of sexual contacts in which a condom is used divided by the total number of sexual contacts.
S L, Hershberger +2 more
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Confidence Intervals on Regression Models with Censored Data
Communications in Statistics - Simulation and Computation, 2013Stute (1993, Consistent estimation under random censorship when covariables are present. Journal of Multivariate Analysis 45, 89–103) proposed a new method to estimate regression models with a censored response variable using least squares and showed the consistency and asymptotic normality for his estimator. This article proposes a new bootstrap-based
Jesus Orbe, Vicente Núñez-Antón
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