Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate
If something can fail, it can often fail in one of several ways and sometimes in more than one way at a time. There is always some cause of failure, and almost always, more than one possible cause. In one sense, then, survival analysis is a lost cause. The methods of Competing Risks have often been neglected in the survival analysis literature.
This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Written for those who have taken a first course in statistical methods, this book takes a modern, computer-oriented approach to describe the statistical techniques used for the assessment of reliability.
Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.
A Blake Bibliography was first published in 1964. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. The aim of this book is to list every reference to William Blake published between 1757 and 1863 and every criticism and edition of his works from the beginning to the present. Partly because of the deluge of scholarship in the last forty years, it includes perhaps twice as many titles as Sir Geoffrey Keynes's great bibliography of 1921. An introductory essay on the history of Blake scholarship puts the most significant works into perspective, indicates the best work that has been done, and points to some neglected areas. In addition, all the most important references and many of the less significant ones are briefly annotated as to subject and value. Because many of the works are difficult to locate, specimen copies of all works published before 1831 have been traced to specific libraries. Each of Blake's manuscripts is also traced to its present owner. Two areas which have received relatively novel attention are early references to Blake (before 1863) and important sale and exhibition catalogues of his works. In both areas there are significant number of important entries which have not been noticed before by Blake scholars. The section on Blake's engravings for commercial works receives especially detailed treatment. A few of the titles listed here have not been described previously in connection with Blake.
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