Title
Flexible Parametric Survival Analysis Using Stata: Beyond The Cox Model
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Through Realworld Case Studies, This Book Shows How To Use Stata To Estimate A Class Of Flexible Parametric Survival Models. It Discusses The Modeling Of Timedependent And Continuous Covariates And Looks At How Relative Survival Can Be Used To Measure Mortality Associated With A Particular Disease When The Cause Of Death Has Not Been Recorded. The Book Describes Simple Quantification Of Differences Between Any Two Covariate Patterns Through Calculation Of Timedependent Hazard Ratios, Hazard Differences, And Survival Differences.
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- Q: How many pages does this book have? A: This book has three hundred thirty-nine pages. It provides in-depth discussions and case studies related to survival analysis.
- Q: What is the binding type of this book? A: This book is paperback bound. This makes it lightweight and flexible for easy handling.
- Q: What are the dimensions of this book? A: The dimensions of this book are seven point twenty-five inches in length, zero point seventy-five inches in width, and nine point twenty-five inches in height.
- Q: Who is the author of this book? A: The author of this book is Patrick Royston. He is known for his expertise in statistical methods for survival analysis.
- Q: What is the main focus of this book? A: The main focus of this book is on flexible parametric survival models using Stata. It covers advanced statistical modeling beyond traditional methods.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides real-world case studies and clear explanations suitable for those new to survival analysis.
- Q: How can I apply the techniques from this book? A: You can apply the techniques by using Stata software to estimate various survival models. The book includes practical examples and guidance.
- Q: Is this book appropriate for someone studying statistics? A: Yes, this book is appropriate for someone studying statistics. It enhances understanding of survival analysis, which is a key area in statistical research.
- Q: Can I use this book for self-study? A: Yes, you can use this book for self-study. It offers detailed explanations and case studies that help reinforce learning.
- Q: How should I store this book? A: You should store this book in a cool, dry place, upright or flat. This preserves the condition of the paperback binding and pages.
- Q: What should I do if my book arrives damaged? A: If your book arrives damaged, you should contact customer support for a return or exchange. They will guide you through the process.
- Q: Is there a warranty for this book? A: No, there is no warranty for this book. However, you can check the return policy for any issues upon delivery.
- Q: What if I need help understanding a concept from the book? A: If you need help understanding a concept, you can reach out to online forums or study groups focused on survival analysis and Stata.
- Q: How often should I refer back to this book while studying? A: You should refer back to this book frequently while studying. Its concepts are foundational for advanced understanding of survival analysis.
- Q: Does this book include examples of real-world applications? A: Yes, this book includes examples of real-world applications. It discusses how the models can be applied in various fields, including healthcare.
- Q: Is this book considered a good resource for data analysis? A: Yes, this book is considered a good resource for data analysis. It offers practical guidance on implementing survival analysis techniques using Stata.