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Building Statistical Models in Python

You're reading from  Building Statistical Models in Python

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781804614280
Pages 420 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Huy Hoang Nguyen Huy Hoang Nguyen
Profile icon Huy Hoang Nguyen
Paul N Adams Paul N Adams
Profile icon Paul N Adams
Stuart J Miller Stuart J Miller
Profile icon Stuart J Miller
View More author details

Table of Contents (22) Chapters

Preface 1. Part 1:Introduction to Statistics
2. Chapter 1: Sampling and Generalization 3. Chapter 2: Distributions of Data 4. Chapter 3: Hypothesis Testing 5. Chapter 4: Parametric Tests 6. Chapter 5: Non-Parametric Tests 7. Part 2:Regression Models
8. Chapter 6: Simple Linear Regression 9. Chapter 7: Multiple Linear Regression 10. Part 3:Classification Models
11. Chapter 8: Discrete Models 12. Chapter 9: Discriminant Analysis 13. Part 4:Time Series Models
14. Chapter 10: Introduction to Time Series 15. Chapter 11: ARIMA Models 16. Chapter 12: Multivariate Time Series 17. Part 5:Survival Analysis
18. Chapter 13: Time-to-Event Variables – An Introduction 19. Chapter 14: Survival Models 20. Index 21. Other Books You May Enjoy

Survival data

Survival data focuses on whether or not an object in a study experiences an event. In addition, the follow-up time is also considered. Time zero or time origin is the time when the study starts. Depending on the purpose of a study, time zero or time origin can be different. For instance, in a prostate cancer study, researchers recruit 40-year-old and older male participants, but in a study of puberty developmental ages, male and female teenagers of 12 and older are recruited. If the research takes place over a period of time (which could be several months or years) then recording the time origin and follow-up time during the study is vitally important.

Lastly, we discuss the relationship between survival and censoring times and how we record survival data with censoring. Suppose that for each object in a sample, we know its true event time T and true censoring time C. Then, the survival time of an object is the period of time until an event occurs and the censoring...

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