The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of...Daugiau...
Seismic Analysis and Design using the Endurance Time Method serves as a comprehensive resource for students, researchers, and practicing structural engineers who want to familiarize themselves with the concepts and applications of the endurance ti...Daugiau...
An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023. Unlike the traditional Cox regressions that...Daugiau...
The endurance time method (ETM) is a seismic analysis procedure in which intensifying dynamic excitations are used as the loading function, and it provides many unique benefits in the design of structures. It can largely reduce the computational eff...Daugiau...
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal...Daugiau...
This book describes methods and software implementations for the analysis of interval-censored data. The authors present the theoretical background for all methods and apply the methods to real data sets. They also provide the R, SAS, and WinBUGS...Daugiau...
Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective ap...Daugiau...
Though much has been written on multivariate failure time data analysis methods, a unified approach to this topic has yet to be communicated. This book aims to fill that gap through a novel focus on marginal hazard rates and cross ratio modeling....Daugiau...
This book describes methods and software implementations for the analysis of interval-censored data. The authors present the theoretical background for all methods and apply the methods to real data sets. They also provide the R, SAS, and WinBUGS...Daugiau...
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary...Daugiau...
Serija: Series on Quality, Reliability and Engineering Statistics
(Išleidimo metai: 19-Feb-2016, Hardback, Leidėjas: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789814730662)
This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate mod...Daugiau...
(Išleidimo metai: 23-Aug-2016, Paperback / softback, Leidėjas: Springer-Verlag New York Inc., ISBN-13: 9781493942534)
This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept...Daugiau...
(Išleidimo metai: 07-Nov-2014, Other digital carrier, Leidėjas: Wiley-Blackwell, ISBN-13: 9781119011040)
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and anal...Daugiau...
Serija: Wiley Series in Probability and Statistics
(Išleidimo metai: 19-Nov-2013, Hardback, Leidėjas: John Wiley & Sons Inc, ISBN-13: 9781118095027)
Lee (biostatistics and epidemiology) and Wang (American Indian health, both U. of Oklahoma-Oklahoma City) present a textbook for students, applied statisticians, epidemiologists, medical researchers, and others interested in analyzing survival data....Daugiau...
Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introductio...Daugiau...
Crowder (U. of London) presents an expanded and corrected edition of his 2001 Classical Competing Risks. He introduces an area of statistics that has its roots in death and disease among humans and animals, though he stretches the examples a bit to m...Daugiau...
Ši knyga nebeleidžiama, tačiau mes Jums pranešime naudoto egzemplioriaus kainą
When designing and analyzing a medical study, researchers focusing on survival data must take into account the heterogeneity of the study population: due to uncontrollable variation, some members change states more rapidly than others. Survival data...Daugiau...
The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an...Daugiau...
Rai (business statistics, Wayne State University) and Singh (Rapid Global Business Solutions) present methods for arriving at hazard rate estimates when mileage accumulation rates in the vehicle population are available in the case of hard failures,...Daugiau...
