Probability Modeling And Statistical Inference In Cancer Screening
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Probability Modeling And Statistical Inference In Cancer Screening
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Author : Dongfeng Wu (College teacher)
language : en
Publisher:
Release Date : 2024
Probability Modeling And Statistical Inference In Cancer Screening written by Dongfeng Wu (College teacher) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Mathematics categories.
"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, 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 to deal with. Highlights: 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. Develops statistical methods in the commonly used disease progressive model Provides solutions to practical problems and introduces open problems. Provides a framework for the most recent development based on the author's research. The book is primarily aimed at researchers and practitioners from biostatistics and cancer research. Readers should have 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"--
Probability Modeling And Statistical Inference In Cancer Screening
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AUDIOBOOK
Author : Dongfeng Wu
language : en
Publisher: CRC Press
Release Date : 2024-04
Probability Modeling And Statistical Inference In Cancer Screening written by Dongfeng Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04 with Mathematics categories.
"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, 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 to deal with. Highlights: 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. Develops statistical methods in the commonly used disease progressive model Provides solutions to practical problems and introduces open problems. Provides a framework for the most recent development based on the author's research. The book is primarily aimed at researchers and practitioners from biostatistics and cancer research. Readers should have 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"--
Probability Modeling And Statistical Inference In Cancer Screening
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AUDIOBOOK
Author : Dongfeng Wu
language : en
Publisher: CRC Press
Release Date : 2024-02-06
Probability Modeling And Statistical Inference In Cancer Screening written by Dongfeng Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Medical categories.
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.
Stochastic Models Of Tumor Latency And Their Biostatistical Applications
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Author : Alexander D Tsodikov
language : en
Publisher: World Scientific
Release Date : 1996-03-20
Stochastic Models Of Tumor Latency And Their Biostatistical Applications written by Alexander D Tsodikov and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-20 with Medical categories.
This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.
Statistical Models And Causal Inference
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Author : David A. Freedman
language : en
Publisher: Cambridge University Press
Release Date : 2010
Statistical Models And Causal Inference written by David A. Freedman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Statistical Inference As Severe Testing
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-20
Statistical Inference As Severe Testing written by Deborah G. Mayo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-20 with Mathematics categories.
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Frontiers In Computational And Systems Biology
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Author : Jianfeng Feng
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-14
Frontiers In Computational And Systems Biology written by Jianfeng Feng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-14 with Science categories.
Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.
Causal Inference In Pharmaceutical Statistics
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Author : Yixin Fang
language : en
Publisher: CRC Press
Release Date : 2024-06-24
Causal Inference In Pharmaceutical Statistics written by Yixin Fang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Mathematics categories.
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in clinical studies. The book is intended for clinical statisticians and epidemiologists working in the pharmaceutical industry. It will also be useful to graduate students in statistics, biostatistics, and data science looking to pursue a career in the pharmaceutical industry. Key Features: Causal inference book for clinical statisticians in the pharmaceutical industry Introductory level on the most important concepts and methods Align with FDA and ICH guidance documents Across different stages of clinical studies: plan, design, conduct, analysis, and interpretation Cover a variety of commonly used study designs
Association Models In Epidemiology
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Author : Hongjie Liu
language : en
Publisher: CRC Press
Release Date : 2024-08-05
Association Models In Epidemiology written by Hongjie Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Medical categories.
Association Models in Epidemiology: Study Designs, Modeling Strategies, and Analytic Methods is written by an epidemiologist for graduate students, researchers, and practitioners who will use regression techniques to analyze data. It focuses on association models rather than prediction models. The book targets students and working professionals who lack bona fide modeling experts but are committed to conducting appropriate regression analyses and generating valid findings from their projects. This book aims to offer detailed strategies to guide them in modeling epidemiologic data. Features Custom-Tailored Models: Discover association models specifically designed for epidemiologic study designs. Epidemiologic Principles in Action: Learn how to apply and translate epidemiologic principles into regression modeling techniques. Model Specification Guidance: Get expert guidance on model specifications to estimate exposure-outcome associations, accurately controlling for confounding bias. Accessible Language: Explore regression intricacies in user-friendly language, accompanied by real-world examples that make learning easier. Step-by-Step Approach: Follow a straightforward step-by-step approach to master strategies and procedures for analysis. Rich in Examples: Benefit from 120 examples, 77 figures, 86 tables, and 174 SAS® outputs with annotations to enhance your understanding. Crafted for two primary audiences, this text benefits graduate epidemiology students seeking to understand how epidemiologic principles inform modeling analyses and public health professionals conducting independent analyses in their work. Therefore, this book serves as a textbook in the classroom and as a reference book in the workplace. A wealth of supporting material is available for download from the book’s CRC Press webpage. Upon completing this text, readers should gain confidence in accurately estimating associations between risk factors and outcomes, controlling confounding bias, and assessing effect modification.
Statistical Models
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Author : David Freedman
language : en
Publisher: Cambridge University Press
Release Date : 2009-04-27
Statistical Models written by David Freedman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-27 with Mathematics categories.
This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.