1 option
Misclassification in epidemiology Tze-San Lee
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Lee, Tze-San, Author.
- Series:
- Emerging topics in statistics and biostatistics 2524-7743
- Language:
- English
- Subjects (All):
- Epidemiology.
- Prejudices.
- Prejudice.
- Medical Subjects:
- Epidemiology.
- Prejudice.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham Springer [2026]
- System Details:
- text file PDF
- Summary:
- This book examines the issues of misclassification in epidemiology. It includes some solutions to the old and new issues of misclassification in a variety of epidemiologic design studies. The book is separated into five parts: Part I focuses on the misclassification in cross-sectional studies. Part II concentrates on the misclassification in cohort studies. Part III investigates the misclassification in case-control studies. Part IV covers hypothesis testing of no misclassification. Part V addresses the misclassification in contingency tables. It could serve as a textbook for advanced undergraduate/graduate students in medical school or students majoring in the statistics department. It could also be used as a reference book for anyone interested in the research of misclassification in epidemiologic studies
- Contents:
- Chapter 1. Exposure Variable is Misclassified
- Chapter 2. Exposure Variable is Misclassified
- Chapter 3. Adjust the Relative Risk
- Chapter 4. Both Disease and Exposure Are Misclassified
- Chapter 5. Two Misclassified Risk Factors
- Chapter 6. Two Misclassified Exposure Variables
- Chapter 7. Testing the hypothesis of No Misclassification
- Chapter 8 Misclassification in Two-Way Tables
- Chapter 9 Misclassification in Two Cohort Groups and in Subgroup Means
- Chapter 10 Latent Class Models for Misclassification
- Notes:
- Includes index
- Online resource; title from PDF title page (SpringerLink, viewed June 25, 2026)
- ISBN:
- 9783032125637
- 3032125634
- OCLC:
- 1599591721
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.