Bayesian Precision Medicine

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Bayesian Precision Medicine

Author : Peter F. Thall
Publisher : CRC Press
ISBN 13 : 1040026710
Total Pages : 711 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Bayesian Precision Medicine by : Peter F. Thall

Download or read book Bayesian Precision Medicine written by Peter F. Thall and published by CRC Press. This book was released on 2024-05-07 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Precision Medicine presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers. The process of evaluating and comparing treatments is explained and illustrated by practical examples, followed by a discussion of causal analysis and its relationship to statistical inference. A wide array of modern Bayesian clinical trial designs are presented, including applications to many oncology trials. The later chapters describe Bayesian nonparametric regression analyses of datasets arising from multistage chemotherapy for acute leukemia, allogeneic stem cell transplantation, and targeted agents for treating advanced breast cancer. Features: Describes the connection between causal analysis and statistical inference Reviews modern personalized Bayesian clinical trial designs for dose-finding, treatment screening, basket trials, enrichment, incorporating historical data, and confirmatory treatment comparison, illustrated by real-world applications Presents adaptive methods for clustering similar patient subgroups to improve efficiency Describes Bayesian nonparametric regression analyses of real-world datasets from oncology Provides pointers to software for implementation Bayesian Precision Medicine is primarily aimed at biostatisticians and medical researchers who desire to apply modern Bayesian methods to their own clinical trials and data analyses. It also might be used to teach a special topics course on precision medicine using a Bayesian approach to postgraduate biostatistics students. The main goal of the book is to show how Bayesian thinking can provide a practical scientific basis for tailoring treatments to individual patients.

Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine

Author : Yuan Ji
Publisher :
ISBN 13 : 9781482218060
Total Pages : pages
Book Rating : 4.2/5 (18 download)

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Book Synopsis Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine by : Yuan Ji

Download or read book Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine written by Yuan Ji and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Remedies for Medical Researchers

Author : Peter F. Thall
Publisher : Springer Nature
ISBN 13 : 3030437140
Total Pages : 297 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Statistical Remedies for Medical Researchers by : Peter F. Thall

Download or read book Statistical Remedies for Medical Researchers written by Peter F. Thall and published by Springer Nature. This book was released on 2020-03-12 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community.

Bayesian Methods in Pharmaceutical Research

Author : Emmanuel Lesaffre
Publisher : CRC Press
ISBN 13 : 1351718673
Total Pages : 547 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Bayesian Methods in Pharmaceutical Research by : Emmanuel Lesaffre

Download or read book Bayesian Methods in Pharmaceutical Research written by Emmanuel Lesaffre and published by CRC Press. This book was released on 2020-04-15 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Author : Mark Chang
Publisher : CRC Press
ISBN 13 : 1000767302
Total Pages : 235 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by : Mark Chang

Download or read book Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare written by Mark Chang and published by CRC Press. This book was released on 2020-05-12 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Bayesian Designs for Phase I-II Clinical Trials

Author : Ying Yuan
Publisher : CRC Press
ISBN 13 : 1315354225
Total Pages : 233 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Bayesian Designs for Phase I-II Clinical Trials by : Ying Yuan

Download or read book Bayesian Designs for Phase I-II Clinical Trials written by Ying Yuan and published by CRC Press. This book was released on 2017-12-19 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

Bayesian Methods in Health Economics

Author : Gianluca Baio
Publisher : CRC Press
ISBN 13 : 1439895554
Total Pages : 246 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Methods in Health Economics by : Gianluca Baio

Download or read book Bayesian Methods in Health Economics written by Gianluca Baio and published by CRC Press. This book was released on 2012-11-12 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

BAYESIAN APPROACH FOR ANALYZING CONCURRENT RESPONSE RATES DATA IN CLINICAL TRIALS.

Author : Yilun Sun
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (143 download)

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Book Synopsis BAYESIAN APPROACH FOR ANALYZING CONCURRENT RESPONSE RATES DATA IN CLINICAL TRIALS. by : Yilun Sun

Download or read book BAYESIAN APPROACH FOR ANALYZING CONCURRENT RESPONSE RATES DATA IN CLINICAL TRIALS. written by Yilun Sun and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision medicine has emerged as a promising approach to advancing global healthcare. However, the traditional clinical trial paradigm requires novel adaptations to adjust to challenges posed by advances in precision medicine. To address this issue, master protocol designs, such as basket trials, have been created to improve flexibility and efficiency in clinical trials. These novel designs often involve multiple disease subgroups and frequently suffer from a limited number of participants. To overcome this challenge, it is necessary to borrow information across patient subgroups to estimate response rates within subgroups in clinical trials. Bayesian methods are among the most commonly recommended approaches for facilitating borrowing strategies. However, existing Bayesian methods often ignore variation in subgroup sizes and the heterogeneity between subgroups caused by multiple factors. In this dissertation, we propose a Bayesian procedure for analyzing concurrent response rates data. Our approach clusters subgroups based on outcomes, conducts flexible information borrowing based on subgroup similarities, accounts for multiple factors, and filters out the contribution of subgroups with small sizes.

Bayesian Methods in Epidemiology

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1466564970
Total Pages : 468 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Bayesian Methods in Epidemiology by : Lyle D. Broemeling

Download or read book Bayesian Methods in Epidemiology written by Lyle D. Broemeling and published by CRC Press. This book was released on 2013-08-13 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online. The book examines study designs that investigate the association between exposure to risk factors and the occurrence of disease. It covers introductory adjustment techniques to compare mortality between states and regression methods to study the association between various risk factors and disease, including logistic regression, simple and multiple linear regression, categorical/ordinal regression, and nonlinear models. The text also introduces a Bayesian approach for the estimation of survival by life tables and illustrates other approaches to estimate survival, including a parametric model based on the Weibull distribution and the Cox proportional hazards (nonparametric) model. Using Bayesian methods to estimate the lead time of the modality, the author explains how to screen for a disease among individuals that do not exhibit any symptoms of the disease. With many examples and end-of-chapter exercises, this book is the first to introduce epidemiology from a Bayesian perspective. It shows epidemiologists how these Bayesian models and techniques are useful in studying the association between disease and exposure to risk factors.

Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine

Author : Michael R. Kosorok
Publisher : SIAM
ISBN 13 : 1611974186
Total Pages : 348 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine by : Michael R. Kosorok

Download or read book Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine written by Michael R. Kosorok and published by SIAM. This book was released on 2015-12-08 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine. The authors provide a learning-by-seeing approach to the development of ATSs, aimed at a broad audience of health researchers. All estimation procedures used are described in sufficient heuristic and technical detail so that less quantitative readers can understand the broad principles underlying the approaches. At the same time, more quantitative readers can implement these practices. This book provides the most up-to-date summary of the current state of the statistical research in personalized medicine; contains chapters by leaders in the area from both the statistics and computer sciences fields; and also contains a range of practical advice, introductory and expository materials, and case studies.

Regression Modeling Strategies

Author : Frank E. Harrell
Publisher : Springer Science & Business Media
ISBN 13 : 147573462X
Total Pages : 583 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Regression Modeling Strategies by : Frank E. Harrell

Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Modern Approaches to Clinical Trials Using SAS

Author : Sandeep Menon
Publisher : SAS Institute
ISBN 13 : 1629600822
Total Pages : 482 pages
Book Rating : 4.6/5 (296 download)

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Book Synopsis Modern Approaches to Clinical Trials Using SAS by : Sandeep Menon

Download or read book Modern Approaches to Clinical Trials Using SAS written by Sandeep Menon and published by SAS Institute. This book was released on 2015-12-09 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the tools you need to use SAS® in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, edited by Sandeep M. Menon and Richard C. Zink, thoroughly covers several domains of modern clinical trial design: classical, group sequential, adaptive, and Bayesian methods that are applicable to and widely used in various phases of pharmaceutical development. Written for biostatisticians, pharmacometricians, clinical developers, and statistical programmers involved in the design, analysis, and interpretation of clinical trials, as well as students in graduate and postgraduate programs in statistics or biostatistics, the book touches on a wide variety of topics, including dose-response and dose-escalation designs; sequential methods to stop trials early for overwhelming efficacy, safety, or futility; Bayesian designs that incorporate historical data; adaptive sample size re-estimation; adaptive randomization to allocate subjects to more effective treatments; and population enrichment designs. Methods are illustrated using clinical trials from diverse therapeutic areas, including dermatology, endocrinology, infectious disease, neurology, oncology, and rheumatology. Individual chapters are authored by renowned contributors, experts, and key opinion leaders from the pharmaceutical/medical device industry or academia. Numerous real-world examples and sample SAS code enable users to readily apply novel clinical trial design and analysis methodologies in practice.

Statistical Approaches in Oncology Clinical Development

Author : Satrajit Roychoudhury
Publisher : CRC Press
ISBN 13 : 1498772706
Total Pages : 237 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Statistical Approaches in Oncology Clinical Development by : Satrajit Roychoudhury

Download or read book Statistical Approaches in Oncology Clinical Development written by Satrajit Roychoudhury and published by CRC Press. This book was released on 2018-12-07 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references, the book highlights current regulatory views. The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design, exposure response analysis, and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design, safety analysis, and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges. Features: Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials. Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis. Detailed case studies illustrate the real life applications. Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials, survival analysis, model informed drug development, and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings, ASA Biopharmaceutical Section Regulatory-Industry Workshop, and ICSA Applied Statistics Symposium. Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology, GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee.

Translational Biomedical Informatics

Author : Bairong Shen
Publisher : Springer
ISBN 13 : 9811015031
Total Pages : 332 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Translational Biomedical Informatics by : Bairong Shen

Download or read book Translational Biomedical Informatics written by Bairong Shen and published by Springer. This book was released on 2016-10-31 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.

Bayesian Biostatistics and Diagnostic Medicine

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 9781032477831
Total Pages : 0 pages
Book Rating : 4.4/5 (778 download)

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Book Synopsis Bayesian Biostatistics and Diagnostic Medicine by : Lyle D. Broemeling

Download or read book Bayesian Biostatistics and Diagnostic Medicine written by Lyle D. Broemeling and published by CRC Press. This book was released on 2023-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Bayesian statistics at an introductory level, this book illustrates how to apply these methods to solve important problems in medicine and biology. After focusing on the wide range of areas where diagnostic medicine is used, the book introduces Bayesian statistics and the estimation of accuracy.

Personalized Medicine in the Making

Author : Chiara Beneduce
Publisher : Springer Nature
ISBN 13 : 3030748049
Total Pages : 334 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Personalized Medicine in the Making by : Chiara Beneduce

Download or read book Personalized Medicine in the Making written by Chiara Beneduce and published by Springer Nature. This book was released on 2022-03-07 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a multidisciplinary look at the much-debated concept of “personalized medicine”. By combining a humanistic and a scientific approach, the book builds up a multidimensional way to understand the limits and potentialities of a personalized approach in medicine and healthcare. The book reflects on personalized medicine and complex diseases, the relationship between personalized medicine and the new bio-technologies, personalized medicine and personalized nutrition, and on some ethical, political, economic, and social implications of personalized medicine. This volume is of interest to researchers from several disciplines including philosophy, bio-medicine, and the social sciences. Chapter 16, “The Impact of Fantasy” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Bayesian Modeling in Bioinformatics

Author : Dipak K. Dey
Publisher : CRC Press
ISBN 13 : 1420070185
Total Pages : 466 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Bayesian Modeling in Bioinformatics by : Dipak K. Dey

Download or read book Bayesian Modeling in Bioinformatics written by Dipak K. Dey and published by CRC Press. This book was released on 2010-09-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c