Misclassification in Epidemiology

Erscheinungsjahr 2026
ISBN: 978-3-032-12562-0
Verlag: Springer

Buch, Englisch, 239 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 557 g

Reihe: Emerging Topics in Statistics and Biostatistics

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.

Zielgruppe

Graduate

Autoren/Hrsg.

Lee, Tze-San

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

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.

Über Autor(innen)

Tze-San Lee is professor emeritus of Western Illinois University and a retired mathematical statistician of Centers for Disease Control and Prevention. He has published numerous research papers in applied mathematics, statistics, and biostatistics in epidemiology on topics like health effect on human health from forest fires, risk factors on mortality from disasters of landslides, and misclassification on the exposure status in case-control studies.