6 edition of frailty model found in the catalog.
Includes bibliographical references and index.
|Statement||by Luc Duchateau and Paul Janssen.|
|Series||Statistics for biology and health|
|LC Classifications||QA276 .D795 2008|
|The Physical Object|
|Pagination||xvii, 316 p. :|
|Number of Pages||316|
|LC Control Number||2007929935|
Efforts to identify, manage, and prevent frailty should include middle-aged individuals with multimorbidity, in whom frailty is significantly associated with mortality, even after adjustment for number of long-term conditions, sociodemographics, and lifestyle. Research, clinical guidelines, and health-care services must shift focus from single conditions to the requirements of increasingly. The Frailty Model: Duchateau, Luc, Janssen, Paul: Books - Skip to main Hello, Sign in. Account & Lists Sign in Account & Lists Returns & Orders. Try. Prime Cart. Books Go Search Hello Select your address.
The Community Teams service model aims to seek out older people with moderate frailty to offer proactive personalised care. Poor health and frailty in later life is not inevitable. Healthy behaviours throughout our lives can help avoid many long-term health problems. However it's also never too late to improve health and wellbeing. For example Philip Hougaard wrote the first advanced text on multivariate survival models and covers parametric forms of frailty models. Klein and Moeschberger wrote a generaal survival analysis book that includes a chapter on semi-parameric fraility models. It showa how the EM algorithm is used to estimate parameters of the models.
Background. Population aging is increasing the demand for health and social care services. Frailty affects a significant proportion of the elderly population and requires a unique approach to caregiving.1 The multidimensional nature of frailty as a medical syndrome of age-associated decline in physiologic reserve and function across multiple organ systems, resulting in diminished strength and. Frailty is a American psychological horror film directed by and starring Bill Paxton, and co-starring Matthew McConaughey and Powers marks Paxton's directorial plot focuses on the strange relationship between two young boys and their fanatically religious father, who believes that he has been commanded by God to kill demons disguised as g: model book.
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"This book focuses on frailty models and provides an in-depth discussion of the basics of frailty model methodology using numerous real data sets. The book is well structured and covers very nicely the material for frailty models. Cited by: The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models.
Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medicine of the Ghent University, Belgium. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models.
Contents. Introduction.- Parametric Proportional Hazards Models With Gamma Frailty.- Alternatives for the Frailty Model.- Frailty Distributions.- The Semiparametric Frailty Price Range: £ - £ • Frailty as accumulation of deficits: “the more things that are wrong, the more likely that person is frail” (Rockwood ) • Frailty as a biologic syndrome of decreased reserve resulting from cumulative declines across multiple physiologic systems (Fried et al.
A frailty model is a random e ects model for time-to-event data, where the random e ect (the frailty) has a multiplicative e ect on the baseline hazard function.
It can be used for frailty model book (independent) lifetimes, i.e. to describe the in. Vaupel et al. () introduced the term frailty and used it in univariate survival mo-dels.
Clayton () promoted the model by its application to multivariate situation on chronic disease incidence in families.
A random effect model takes into account the effects of unobserved or unobserva-ble heterogeneity, caused by different sources. statistical terms, a frailty model is a random effect model for time-to-event data, where the random effect (the frailty) has a multiplicative effect on the baseline hazard function.
One can distinguish two broad classes of frailty models: (1) models with an univariate survival time as endpoint and. A frailty model is a random effects model for time variables, where the random effect (the frailty) has a multiplicative effect on the hazard.
It can be used for univariate (independent) failure times, i.e. to describe the influence of unobserved covariates in a proportional hazards model. Weinke's book is one of a few new books devoted completely to frailty models (another is Duchateau and Janssen ()). This book has an extensive bibliography on recent research in frailty modeling as well as thorough coverage of the major historical papers on survival analysis in by: The term white fragility is in full circulation now in mainstream society.
It has gained this traction since Robin DiAngelo’s book on the subject hit the shelves approximately one year ago, and. models provide a powerful tool to analyse clustered survival data. In this book the focus is on frailty models, but similarities as well as diﬀerences between frailty models and copula models are.
This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers.
The discussion includes parametric and semiparametric frailty models. "This book studies so-called frailty models intended for time-to-event data with a cluster structure.
provide a thorough presentation of the most current techniques used in this area of time-to-event analysis with emphasis on analysis of real data sets.5/5(2). Frailty Model Frailty models can help explain the unaccounted for heterogeneity. Frailty Model: hyi (t) = z h0(t)e 1X1+ + kXk is the hazard function of the ith individual The distribution of.
Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models.
The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty : Andreas Wienke. The frailty phenotype is based on a pre-defined set of five criteria exploring the presence/absence of signs or symptoms (i.e.
involuntary weight loss, exhaustion, slow gait speed, poor handgrip strength, and sedentary behaviour) .The number of criteria (a 6-level ordinal variable ranging from 0 to 5) is categorised into a 3-level variable depicting robustness (none of the criteria), pre.
(Tommi Harkanen, International Statistical Review, Vol. 76 (3), )"This book focuses on frailty models and provides an in-depth discussion of the basics of frailty model methodology using numerous real data sets.
The book is well structured and covers very nicely the material for frailty models. (Filia Vonta, Journal of Applied Statistics, Vol. 36 (6), August, )"This book studies so-called frailty models intended for time-to-event data with a cluster structure.
provide a thorough presentation of the most current techniques used in this area of time-to-event analysis with. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity.
It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. Frailty is a whole different kind of twisted being on a totally different level with one of those subject matters that some readers may find hard to stomach.
But for me I really enjoyed it. So in this book we follow a story told from both Danny and Libby's point of view /5(). This book gives a detailed introduction to frailty models and their applications primarily in biomedical and epidemiological fields.
The models are developed with real life data. This book may serve as a textbook for a Master’s level (or early Ph.D.) course on frailty models.Frailty models are survival models with at least one random effect. For example, a proportional hazards model can be written as: () () The subscript j indexes the individual.
This model becomes a frailty model by adding a random effect as in: () () () () The subscript i indexes a cluster of individuals and ω is the random effect.Frailty by Betsy Reavley has not only left me speechless (a very rare thing indeed, as Mr book review café will tell you) but it also reduced me to a blubbering wreck, it’s very rare th Frailty is an absolute cracker and its definitely going to be on my list of top ten reads this year without doubt.4/5.