Applied Survival Analysis: Regression Modeling Of Timetoevent Data,New

Applied Survival Analysis: Regression Modeling Of Timetoevent Data,New

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The Most Practical, Uptodate Guide To Modelling And Analyzing Timetoevent Datanow In A Valuable New Editionsince Publication Of The First Edition Nearly A Decade Ago, Analyses Using Timetoevent Methods Have Increase Considerably In All Areas Of Scientific Inquiry Mainly As A Result Of Modelbuilding 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 Healthrelated Areas Of Study. Applied Survival Analysis, Second Edition Provides A Comprehensive And Uptodate Introduction To Regression Modeling For Timetoevent Data In Medical, Epidemiological, Biostatistical, And Other Healthrelated 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 Realworld 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 Covariateadjusted 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 Timevarying Covariates, Complex With Examples Additional Treatment Of The Exponential, Weibull, And Loglogistic 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 Chapteranalyses 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 Graduatelevel Courses In Biostatistics, Statistics, And Epidemiologic Methods. It Also Serves As A Valuable Reference For Practitioners And Researchers In Any Healthrelated Field Or For Professionals In Insurance And Government.

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Frequently Asked Questions

  • Q: What topics are covered in Applied Survival Analysis, Second Edition? A: This book covers a range of topics including variable selection, continuous covariate scaling, interactions in models, assessment of fit, regression diagnostics, recurrent event models, frailty models, competing risk models, and handling missing data.
  • Q: Who is the author of Applied Survival Analysis? A: The author of Applied Survival Analysis, Second Edition is David W. Hosmer Jr.
  • Q: What is the publication date of this book? A: Applied Survival Analysis, Second Edition was published on March 7, 2008.
  • Q: What is the binding type of this book? A: The binding type of Applied Survival Analysis, Second Edition is hardcover.
  • Q: How many pages does Applied Survival Analysis have? A: The book contains 416 pages.
  • Q: Is Applied Survival Analysis suitable for beginners? A: While the book provides a practical introduction, it is primarily aimed at graduate-level students in biostatistics, statistics, and epidemiology, and may be complex for complete beginners.
  • Q: What software is used for examples in this book? A: Analyses in the book are performed using Stata® Version 9, and an accompanying FTP site provides access to the data sets used.
  • Q: What new features are included in the Second Edition? A: The Second Edition includes expanded coverage of interactions, discussions on variable selection with multivariable fractional polynomials, and additional treatment of parametric regression models.
  • Q: Can this book be a reference for health-related research? A: Yes, Applied Survival Analysis serves as a valuable reference for practitioners and researchers in health-related fields and is also useful for professionals in insurance and government.
  • Q: Does this book include exercises? A: Yes, Applied Survival Analysis includes new examples and exercises at the end of each chapter to reinforce learning.