Título: Applied Survival Analysis: Regression Modeling of Time-to-Event Data
Autor: David W. Hosmer Jr., Stanley Lemeshow, Susanne May
Sinopse: THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Applied Survival Analysis: Regression Modeling of Time-to-Event Data”, de David W. Hosmer Jr., Stanley Lemeshow, Susanne May, publicado pela editora Wiley-Blackwell, em 2008 e com 416 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: Wiley-Blackwell
Páginas: 416
Ano: 2008
Edição: 2
Linguagem: pt_BR
ISBN: 9780471754992
ISBN13: 9780471754992
Sobre a editora
Os livros da editora Wiley-Blackwell costumam apresentar uma abordagem aprofundada e especializada, com forte presença de obras acadêmicas e técnicas. A leitura frequentemente envolve temas complexos, como filosofia, ciências da vida, ciências sociais e tecnologia, com textos que combinam rigor conceitual e detalhamento prático. A experiência de leitura varia entre ensaios filosóficos densos e manuais ilustrados, com um tom que vai do didático ao crítico, sempre ancorado em discussões contemporâneas e interdisciplinaridade. O catálogo indica uma preferência por obras que dialogam com públicos acadêmicos e profissionais, que buscam tanto fundamentos teóricos quanto aplicações concretas em suas áreas.
