Probability Modeling and Statistical Inference in Cancer Screening

Dongfeng Wu

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English

Chapman & Hall/CRC
06 February 2024

Epidemiology & medical statistics; Oncology; Probability & statistics

Series: Chapman & Hall/CRC Biostatistics Series

Cancer screening has been carried out for six decades – however, there are many unsolved problems: how to estimate key parameters involved in screenings, such as sensitivity, the time duration in the preclinical state (i.e., sojourn time), and time duration in the disease-free state; how to estimate the distribution of lead time, the diagnosis time advanced by screening; how to evaluate the long-term outcomes of screening, including the probability of overdiagnosis among the screen-detected; when to schedule the first exam based on one’s current age and risk tolerance; and when to schedule the upcoming exam based on one’s screening history, age, and risk tolerance. These problems need proper probability models and statistical methods in order to be dealt with.

Features:

This book gives a concise account of the analysis of cancer screening data, using probability models and statistical methods. Real data sets are provided so that cancer researchers and statisticians can apply the methods in the learning process. It develops statistical methods in the commonly used disease progressive model. It provides solutions to practical problems and introduces open problems. It provides a framework for the most recent developments based on the author’s research.

The book is primarily aimed at researchers and practitioners from biostatistics and cancer research. Readers should have the prerequisite knowledge of calculus, probability, and statistical inference. The book could be used as a one-semester textbook on the topic of cancer screening methodology for a graduate-level course.

By: Dongfeng Wu
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 689g
ISBN: 9781032513300
ISBN 10: 1032513306
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 262
Publication Date: 06 February 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

1. A Brief Review Of Probability and Bayes Inference. 2. Estimating The Three Key Parameters 3. Testing Dependency Of Two Screening Modalities. 4. Lead Time Distribution in Cancer Screening. 5. Evaluating Long Term Outcomes in Screening. 6. Scheduling Screening Exam for Asyptomatic Individuals. 7. Scheduling the Upcoming Exam for Individuals with a Screening History.

Dongfeng Wu is a full professor in the Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville. She got her PhD in Statistics and MS in Computer Science from the University of California, Santa Barbara in 1999. She worked at Mississippi State University and MD Anderson Cancer Center before joining the University of Louisville.