{"product_id":"applied-survival-analysis-9780471754992","title":"Applied Survival Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eTHE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATANOW IN A VALUABLE NEW EDITION\u003c\/b\u003e  \u003cp\u003eSince 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.\u003c\/p\u003e \u003cp\u003eThis 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 t\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e“This is a great book for anyone analyzing time-to-event data.  Researchers interested in the underlying theory will have to go elsewhere..”  (\u003ci\u003eStat Papers\u003c\/i\u003e, 1 December 2012)\u003c\/p\u003e \"It is well suited for teaching a graduate-level course in medical statistics, and the data sets used in the book are available online.\" (\u003ci\u003eBiometrical Journal\u003c\/i\u003e, August 2009)  \u003cp\u003e\"This is a superb resource - a practical guide with up-to-date applications. The authors are excellent teachers of the mathematics and application of survival data regression modeling.\" (\u003ci\u003eDoodys\u003c\/i\u003e, August 2009)\u003c\/p\u003e \u003cp\u003e\"The extensive and detailed coverage of the process of survival model fitting, as well as the applied exercises, make this textbook an excellent choice for an applied survival analysis course.\" (\u003ci\u003eJournal of Biopharmaceutical Statistics\u003c\/i\u003e, Volume 18, Issue 6, 2008)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003e1. Introduction to Regression Modeling of Survival Data 1\u003c\/p\u003e \u003cp\u003e2. Descriptive Methods for Survival Data 16\u003c\/p\u003e \u003cp\u003e3. Regression Models for Survival Data 67\u003c\/p\u003e \u003cp\u003e4. Interpretation of a Fitted Proportional Hazards Regression Model 92\u003c\/p\u003e \u003cp\u003e5. Model Development 132\u003c\/p\u003e \u003cp\u003e6. Assessment of Model Adequacy 169\u003c\/p\u003e \u003cp\u003e7. Extensions of the Proportional Hazards Model 207\u003c\/p\u003e \u003cp\u003e8. Parametric Regression Models 244\u003c\/p\u003e \u003cp\u003e9. Other Models and Topics 286\u003c\/p\u003e \u003cp\u003eAppendix 1: The Delta Method 355\u003c\/p\u003e \u003cp\u003eAppendix 2: An Introduction to the Counting Process Approach to Survival Analysis 359\u003c\/p\u003e \u003cp\u003eAppendix 3: Percentiles for Computation of the Hall and Wellner Confidence Band 364\u003c\/p\u003e \u003cp\u003eReferences 365\u003c\/p\u003e \u003cp\u003eIndex 383\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":51037070950743,"sku":"9780471754992","price":116.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471754992.jpg?v=1750934259","url":"https:\/\/bookcurl.com\/products\/applied-survival-analysis-9780471754992","provider":"Book Curl","version":"1.0","type":"link"}