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This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. More recently, change point analysis has been found in extensive applications related to analyzing biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data.
The exposition throughout the work is clear and systematic, with a great deal of introductory material included. Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature. Extensive examples throughout the text emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approaches. New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control are added in this second edition. Also included are two new chapters on change points in the hazard function and other practical change point models such as the epidemic change point model and a smooth-and-abrupt change point model. An up-to-date comprehensive bibliography and two indices round out the work.
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Understand the principles, practices, and applications of bionanotechnology
This hands-on textbook covers key aspects of bionanotechnology from an engineering perspective. The book delves into a wide variety of topics, including materials science, micro/nano fabrication, general physics, fluid flow, electromagnetics, thermodynamics, molecular biology, immunology, biochemistry, and organic chemistry.
Developed from an advanced engineering course taught by its authors, Bionanotechnology: Engineering Concepts and Applications fully explains all of the underlying concepts and shows how that theory can be directly applied in practical applications. Readers will get examples, problem sets, real-world case studies, and engineering design methodologies that illustrate each concept.
The book contains complete discussions on microfluidics, lab-on-a-chip devices, organ-on-a-chip devices, quantum dots, DNA/RNA technology, micro/nano fabrication techniques, the modelling/simulation of microsystems, and bionanotechnology-based biosensors, targeted therapies, and drug delivery systems.
Combines many different bionanotechnology topics into one resourceBased on a course developed and taught by the authors at the University of AlbertaWritten by recognized experts and experienced educators1 283 kr
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Understand the principles, practices, and applications of bionanotechnology
This hands-on textbook covers key aspects of bionanotechnology from an engineering perspective. The book delves into a wide variety of topics, including materials science, micro/nano fabrication, general physics, fluid flow, electromagnetics, thermodynamics, molecular biology, immunology, biochemistry, and organic chemistry.
Developed from an advanced engineering course taught by its authors, Bionanotechnology: Engineering Concepts and Applications fully explains all of the underlying concepts and shows how that theory can be directly applied in practical applications. Readers will get examples, problem sets, real-world case studies, and engineering design methodologies that illustrate each concept.
The book contains complete discussions on microfluidics, lab-on-a-chip devices, organ-on-a-chip devices, quantum dots, DNA/RNA technology, micro/nano fabrication techniques, the modelling/simulation of microsystems, and bionanotechnology-based biosensors, targeted therapies, and drug delivery systems.
Combines many different bionanotechnology topics into one resourceBased on a course developed and taught by the authors at the University of AlbertaWritten by recognized experts and experienced educators942 kr
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Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples.
Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples.
The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.
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Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples.
Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples.
The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.
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Integrate RCTs and real-world evidence for stronger regulatory submissions
Since the passage of the 21st Century Cures Act, the landscape of clinical research has transformed dramatically. Today, the integration of real-world data (RWD) and real-world evidence (RWE) with traditional randomized controlled trials (RCTs) is not just innovative - it is essential for modern drug development and regulatory decision-making.
This comprehensive volume bridges the methodologies of conventional RCTs and emerging RWE studies, offering systematic approaches for leveraging diverse data sources throughout the clinical development lifecycle. Grounded in regulatory statistics yet forward-looking in scope, the book explores Stein???s continuum of study designs - from traditional RCTs to pragmatic trials and observational studies - and demonstrates how RWD can enhance trial feasibility, inform outcome selection, provide external controls for single-arm trials, and strengthen post-approval safety monitoring.
Readers will find detailed explorations of:
A history of clinical trials, evidence-based medicine, and the regulatory frameworks governing drug approval Treatment switching and estimands in RWE studies Advanced analytical considerations including precision medicine, vaccine effectiveness, safety evaluation, and sensitivity analysis Practical roadmaps for designing robust RWE studies Artificial intelligence and machine learning in clinical researchDesigned as both a reference and a graduate-level textbook, this book serves clinical researchers such as clinicians and biostatisticians, regulatory professionals, public health scientists, and industry practitioners seeking to harness the power of RWD and RWE to generate credible, actionable evidence for modern medicine.
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This monograph is a self-contained, coherent presentation of the background and progress of the stability of time-delay systems. Focusing on techniques, tools, and advances in numerical methods and optimization algorithms, the authors developed material which, up until now, has been scattered in technical journals and conference proceedings. Special emphasis is placed on systems with uncertainty and stability criteria which can be computationally implemented.
The second edition is major update to reflect the state of art in this field greatly expanding on the original material in addition to two new chapters on Systems of Neutral Type and an Introduction to Frequency Domain Method.
Requiring only basic knowledge of linear systems and Lyapunov stability theory, Stability of Time-Delay Systems, 2nd ed is accessible to a broad audience of researchers, professional engineers, and graduate students. It may be used for self-study or as a reference; portions of the text may be used in advanced graduate courses and seminars.
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