Analysis of Multivariate Survival Data

By J. R. Kenyon. Technometrics, 2002

771 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b47a96ac6f049e84a9e2e1368decc0cdd4e12ad2

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Citations in the corpus

Maximum likelihood estimation in semiparametric regression models with censored data (2007, background): “It is natural and convenient to represent the dependence of related failure times through frailty or random effects (Clayton and Cuzick, 1985; Oakes, 1989, 1991; Hougaard, 2000).”
History of applications of martingales in survival analysis. (2010, neutral): “The monograph combines concrete practical examples, almost all of the authors’ own experience, with an exposition of the mathematical background, several detailed chapters on non- and semiparametric models as well as parametric models, and chapters giving preliminary glimpses into topics to come: se”
Competitive Response to Radical Product Innovations (2008, methodology): “In the hazard model literature (particularly in the biostastitics field; see, e.g., Vaupel, Manton, and Stallard 1979; and, more generally, Hougaard 2000), this is often referred to as a “frailty” model, and u is the frailty term.”
Choice between Semi‐parametric Estimators of Markov and Non‐Markov Multi‐state Models from Coarsened Observations (2007, methodology): “Multi-state models, and more generally models based on multivariate counting processes, are well adapted for modelling complex event histories (Andersen et al., 1993; Hougaard, 2000).”
Double hierarchical generalized linear models (2006, methodology): “(Nelder and Lee, 1991), splines (Wahba, 1990), semiparametric models (Zeger and Diggle, 1994), growth curve models (Zimmerman and Nunez-Anton, 2001), frailty models (Hougaard, 2000), heavy-tailed models (Lange et al.”
The cost of dispersal: predation as a function of movement and site familiarity in ruffed grouse (2004, methodology): “To accomplish this, we used a method of survival analysis based on the extended Cox’s proportional hazards model (Hougaard, 2000; Kleinbaum, 1996; White and Garrott, 1990).”
Copulas: A Personal View (2009, positive): “…special stochastic modeling, like the Marshall–Olkin copula, see Lindskog and McNeil [30], or copulas related to frailty models in (medical) survival analysis; see Hougaard [23] and Duchateau and Janssen [11] for the latter, where also the link to the class of Archimedean copulas is explained.”
Replacing Cabinet Ministers: Patterns of Ministerial Stability in Parliamentary Democracies (2008, background): “…hazard rate than ministers in low-risk ones, and by not controlling for the source of these differences (thus estimating a single hazard rate for low- and high-risk ministers) we might be estimating biased parameters or we might get misleading estimates of duration dependency (Hougaard 2000).”
Robust Inference for Univariate Proportional Hazards Frailty Regression Models (2004, background): “Nonproportional marginal hazards may not imply correlation of the failure times [Hougaard (2000)].”
Frailty models based on Lévy processes (2003, methodology): “PVF processes The PVF (power variance function) distributions constitute a general class of distributions studied, for instance, in [13].”
Latent Variable Modelling: A Survey * (2007, background): “Latent variable modelling has gradually become an integral part of mainstream statistics and is currently used for a multitude of applications in different subject areas.”
Which Democracies Will Last? Coups, Incumbent Takeovers, and the Dynamic of Democratic Consolidation (2014, neutral): “Crowder (2001) and Hougaard (2001) provide an extensive treatment of the ‘classical approach;’”
The Statistical Analysis of Recurrent Events (2007, background): “Other recent books which include some discussion of the analysis of recurrent event data include Hougaard (2000), Kalbfleisch and Prentice (2002), Martinussen and Scheike (2006), and Sun (2006).”
MULTILEVEL DISCRETE‐TIME EVENT HISTORY MODELS WITH APPLICATIONS TO THE ANALYSIS OF RECURRENT EMPLOYMENT TRANSITIONS (2011, methodology): “The same model is also referred to as a shared frailty model (Hougaard 2000), an extension of the single-level frailty models first used in the context C© 2011 Australian Statistical Publishing Association Inc. of mortality studies (Vaupel et al. 1979).”
Double hierarchical generalized linear models (with discussion) (2006, methodology): “(Nelder and Lee, 1991), splines (Wahba, 1990), semiparametric models (Zeger and Diggle, 1994), growth curve models (Zimmerman and Nunez-Anton, 2001), frailty models (Hougaard, 2000), heavy-tailed models (Lange et al.”