Title
Applied Survival Analysis: Regression Modeling Of Timetoevent Data,New
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
Payment Option
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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has four hundred sixteen pages. It provides comprehensive coverage of regression modeling techniques for time-to-event data.
- Q: What is the binding type of this book? A: The binding type of this book is hardcover. This ensures durability and longevity for frequent use in academic and professional settings.
- Q: What are the dimensions of this book? A: The book measures six point one inches in length, one point one inches in width, and nine point three inches in height. These dimensions make it easy to handle and store.
- Q: Who is the author of this book? A: The author of this book is David W. Hosmer Jr. He is well-regarded in the field of biostatistics and epidemiologic methods.
- Q: What is the focus of the book's content? A: The book focuses on regression modeling for time-to-event data. It emphasizes practical applications rather than mathematical theory.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners in biostatistics and epidemiology. It offers clear explanations and real-world examples to aid understanding.
- Q: How can I apply the methods discussed in the book? A: You can apply the methods by using the modeling techniques illustrated with real-world examples and case studies. It covers various health-related research applications.
- Q: What level of expertise is needed to understand this book? A: A basic understanding of statistics is recommended. The book is designed for graduate-level courses but is accessible to practitioners and researchers.
- Q: Can this book be used for practical applications in healthcare? A: Yes, this book can be used for practical applications in healthcare. It provides methods relevant to medical, epidemiological, and biostatistical research.
- Q: Does this book include exercises for practice? A: Yes, the book includes new examples and exercises at the end of each chapter. These exercises reinforce the concepts discussed throughout the text.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, you should contact the retailer for a return or replacement. Most retailers have policies in place to handle such situations.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, many retailers offer return policies if the book is defective or not as described.
- Q: Does this book come with a digital component? A: Yes, an accompanying FTP site contains the data sets used in the book. This enhances the learning experience by providing practical data for analysis.
- Q: What software is used for the analyses in the book? A: The analyses throughout the text are performed using Stata® Version 9. This statistical software is widely used in the field of biostatistics.
- Q: Is this book a good reference for researchers? A: Yes, this book serves as a valuable reference for researchers in health-related fields. It covers a wide range of topics relevant to biostatistics.