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Bayesian Designs for Phase I-II Clinical Trials

Bayesian Designs for Phase I-II Clinical Trials

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 Designs for Phase I-II Clinical Trials

GBP 38.99
1

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance reliability and availability evaluation subjects. The volumes focus on computing systems although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14 whose subtitle is ``Performance Modeling and Background. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling Measuring and Workload and Lifetime Data Analysis. This text is helpful for computer performance professionals for supporting planning design configuring and tuning the performance reliability and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance reliability and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text. Volume I is composed of the first two parts besides Chapter 1. Part I gives the knowledge required for the subsequent parts of the text. This part includes six chapters. It covers an introduction to probability descriptive statistics and exploratory data analysis random variables moments covariance some helpful discrete and continuous random variables Taylor series inference methods distribution fitting regression interpolation data scaling distance measures and some clustering methods. Part II presents methods for performance evaluation modeling such as operational analysis Discrete-Time Markov Chains (DTMC) and Continuous Time Markov Chains (CTMC) Markovian queues Stochastic Petri nets (SPN) and discrete event simulation. | Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

GBP 120.00
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Basic Analysis I Functions of a Real Variable

Basic Analysis I Functions of a Real Variable

Basic Analysis I: Functions of a Real Variable is designed for students who have completed the usual calculus and ordinary differential equation sequence and a basic course in linear algebra. This is a critical course in the use of abstraction but is just first volume in a sequence of courses which prepare students to become practicing scientists. This book is written with the aim of balancing the theory and abstraction with clear explanations and arguments so that students who are from a variety of different areas can follow this text and use it profitably for self-study. It can also be used as a supplementary text for anyone whose work requires that they begin to assimilate more abstract mathematical concepts as part of their professional growth. Features Can be used as a traditional textbook as well as for self-study Suitable for undergraduate mathematics students or for those in other disciplines requiring a solid grounding in abstraction Emphasises learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions | Basic Analysis I Functions of a Real Variable

GBP 82.99
1

Handbook of Alternative Data in Finance Volume I

Handbook of Alternative Data in Finance Volume I

Handbook of Alternative Data in Finance Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data including its definition characteristics difference from conventional data categories of Alternative Data Alternative Data providers and more. The book also offers a rigorous and detailed exploration of process application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning fintech and more Suitable for professional quantitative analysts and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners

GBP 140.00
1

Foundations of Quantitative Finance Book I: Measure Spaces and Measurable Functions

Foundations of Quantitative Finance Book I: Measure Spaces and Measurable Functions

This is the first in a set of 10 books written for professionals in quantitative finance. These books fill the gap between informal mathematical developments found in introductory materials and more advanced treatments that summarize without formally developing the important foundational results professionals need. Book I in the Foundations in Quantitative Finance Series develops topics in measure spaces and measurable functions and lays the foundation for subsequent volumes. Lebesgue and then Borel measure theory are developed on ℝ motivating the general extension theory of measure spaces that follows. This general theory is applied to finite product measure spaces Borel measures on ℝn and infinite dimensional product probability spaces. The overriding goal of these books is a complete and detailed development of the many mathematical theories and results one finds in popular resources in finance and quantitative finance. Each book is dedicated to a specific area of mathematics or probability theory with applications to finance that are relevant to the needs of professionals. Practitioners academic researchers and students will find these books valuable to their career development. All ten volumes are extensively self-referenced. The reader can enter the collection at any point or topic of interest and then work backward to identify and fill in needed details. This approach also works for a course or self-study on a given volume with earlier books used for reference. Advanced quantitative finance books typically develop materials with an eye to comprehensiveness in the given subject matter yet not with an eye toward efficiently curating and developing the theories needed for applications in quantitative finance. This book and series of volumes fill this need. | Foundations of Quantitative Finance Book I: Measure Spaces and Measurable Functions

GBP 68.99
1

Beyond First Order Model Theory Volume I and II

Beyond First Order Model Theory Volume I and II

Model theory is the meta-mathematical study of the concept of mathematical truth. After Afred Tarski coined the term Theory of Models in the early 1950’s it rapidly became one of the central most active branches of mathematical logic. In the last few decades ideas that originated within model theory have provided powerful tools to solve problems in a variety of areas of classical mathematics including algebra combinatorics geometry number theory and Banach space theory and operator theory. The two volumes of Beyond First Order Model Theory present the reader with a fairly comprehensive vista rich in width and depth of some of the most active areas of contemporary research in model theory beyond the realm of the classical first-order viewpoint. Each chapter is intended to serve both as an introduction to a current direction in model theory and as a presentation of results that are not available elsewhere. All the articles are written so that they can be studied independently of one another. The first volume is an introduction to current trends in model theory and contains a collection of articles authored by top researchers in the field. It is intended as a reference for students as well as senior researchers. This second volume contains introductions to real-valued logic and applications abstract elementary classes and applications interconnections between model theory and function spaces nonstucture theory and model theory of second-order logic. Features A coherent introduction to current trends in model theory. Contains articles by some of the most influential logicians of the last hundred years. No other publication brings these distinguished authors together. Suitable as a reference for advanced undergraduate postgraduates and researchers. Material presented in the book (e. g abstract elementary classes first-order logics with dependent sorts and applications of infinitary logics in set theory) is not easily accessible in the current literature. The various chapters in the book can be studied independently. | Beyond First Order Model Theory Volume I and II

GBP 230.00
1

Learning Professional Python Volume 2: Advanced

Learning Professional Python Volume 2: Advanced

Volume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy understandable manner while strengthening coding skills. Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes objects inheritance dynamic dispatch interfaces and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications | Learning Professional Python Volume 2: Advanced

GBP 52.99
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Sequential Analysis Hypothesis Testing and Changepoint Detection

Sequential Analysis Hypothesis Testing and Changepoint Detection

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic (non-Bayesian) contexts. The authors not only emphasize traditional binary hypotheses but also substantially more difficult multiple decision problems. They address scenarios with simple hypotheses and more realistic cases of two and finitely many composite hypotheses. The book primarily focuses on practical discrete-time models with certain continuous-time models also examined when general results can be obtained very similarly in both cases. It treats both conventional i. i. d. and general non-i. i. d. stochastic models in detail including Markov hidden Markov state-space regression and autoregression models. Rigorous proofs are given for the most important results. Written by leading authorities in the field this book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It explains how the theoretical aspects influence the hypothesis testing and changepoint detection problems as well as the design of algorithms. | Sequential Analysis Hypothesis Testing and Changepoint Detection

GBP 44.99
1

Mathematical Principles of the Internet Volume 2 Mathematics

Mathematical Principles of the Internet Volume 2 Mathematics

This two-volume set on Mathematical Principles of the Internet provides a comprehensive overview of the mathematical principles of Internet engineering. The books do not aim to provide all of the mathematical foundations upon which the Internet is based. Instead they cover a partial panorama and the key principles. Volume 1 explores Internet engineering while the supporting mathematics is covered in Volume 2. The chapters on mathematics complement those on the engineering episodes and an effort has been made to make this work succinct yet self-contained. Elements of information theory algebraic coding theory cryptography Internet traffic dynamics and control of Internet congestion and queueing theory are discussed. In addition stochastic networks graph-theoretic algorithms application of game theory to the Internet Internet economics data mining and knowledge discovery and quantum computation communication and cryptography are also discussed. In order to study the structure and function of the Internet only a basic knowledge of number theory abstract algebra matrices and determinants graph theory geometry analysis optimization theory probability theory and stochastic processes is required. These mathematical disciplines are defined and developed in the books to the extent that is needed to develop and justify their application to Internet engineering. | Mathematical Principles of the Internet Volume 2 Mathematics

GBP 44.99
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Quantum Computation

Quantum Computation

Quantum Computation presents the mathematics of quantum computation. The purpose is to introduce the topic of quantum computing to students in computer science physics and mathematics who have no prior knowledge of this field. The book is written in two parts. The primary mathematical topics required for an initial understanding of quantum computation are dealt with in Part I: sets functions complex numbers and other relevant mathematical structures from linear and abstract algebra. Topics are illustrated with examples focussing on the quantum computational aspects which will follow in more detail in Part II. Part II discusses quantum information quantum measurement and quantum algorithms. These topics provide foundations upon which more advanced topics may be approached with confidence. Features A more accessible approach than most competitor texts which move into advanced research-level topics too quickly for today's students. Part I is comprehensive in providing all necessary mathematical underpinning particularly for those who need more opportunity to develop their mathematical competence. More confident students may move directly to Part II and dip back into Part I as a reference. Ideal for use as an introductory text for courses in quantum computing. Fully worked examples illustrate the application of mathematical techniques. Exercises throughout develop concepts and enhance understanding. End-of-chapter exercises offer more practice in developing a secure foundation.

GBP 74.99
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Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

Discovering Evolution Equations with Applications: Volume 1-Deterministic Equations provides an engaging accessible account of core theoretical results of evolution equations in a way that gradually builds intuition and culminates in exploring active research. It gives nonspecialists even those with minimal prior exposure to analysis the foundation to understand what evolution equations are and how to work with them in various areas of practice. After presenting the essentials of analysis the book discusses homogenous finite-dimensional ordinary differential equations. Subsequent chapters then focus on linear homogenous abstract nonhomogenous linear semi-linear functional Sobolev-type neutral delay and nonlinear evolution equations. The final two chapters explore research topics including nonlocal evolution equations. For each class of equations the author develops a core of theoretical results concerning the existence and uniqueness of solutions under various growth and compactness assumptions continuous dependence upon initial data and parameters convergence results regarding the initial data and elementary stability results. By taking an applications-oriented approach this self-contained conversational-style book motivates readers to fully grasp the mathematical details of studying evolution equations. It prepares newcomers to successfully navigate further research in the field. | Discovering Evolution Equations with Applications Volume 1-Deterministic Equations

GBP 74.99
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Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Second Edition reflects the tremendous growth in the field over the past two decades. Through contributions from leading experts this handbook provides a comprehensive introduction to the underlying theory and methodologies as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction relaxation local ratio approximation schemes randomization tabu search evolutionary computation local search neural networks and other metaheuristics. It also explores multi-objective optimization reoptimization sensitivity analysis and stability. Traditional applications covered include: bin packing multi-dimensional packing Steiner trees traveling salesperson scheduling and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization computational geometry and graphs problems as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering networks (sensor and wireless) communication bioinformatics search streams virtual communities and more. About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California Santa Barbara. He completed his Ph. D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma the Pennsylvania State University and the University of Texas at Dallas before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling graph algorithms computational geometry message communication wire routing etc. | Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

GBP 44.99
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Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

Most existing books on evolution equations tend either to cover a particular class of equations in too much depth for beginners or focus on a very specific research direction. Thus the field can be daunting for newcomers to the field who need access to preliminary material and behind-the-scenes detail. Taking an applications-oriented conversational approach Discovering Evolution Equations with Applications: Volume 2-Stochastic Equations provides an introductory understanding of stochastic evolution equations. The text begins with hands-on introductions to the essentials of real and stochastic analysis. It then develops the theory for homogenous one-dimensional stochastic ordinary differential equations (ODEs) and extends the theory to systems of homogenous linear stochastic ODEs. The next several chapters focus on abstract homogenous linear nonhomogenous linear and semi-linear stochastic evolution equations. The author also addresses the case in which the forcing term is a functional before explaining Sobolev-type stochastic evolution equations. The last chapter discusses several topics of active research. Each chapter starts with examples of various models. The author points out the similarities of the models develops the theory involved and then revisits the examples to reinforce the theoretical ideas in a concrete setting. He incorporates a substantial collection of questions and exercises throughout the text and provides two layers of hints for selected exercises at the end of each chapter. Suitable for readers unfamiliar with analysis even at the undergraduate level this book offers an engaging and accessible account of core theoretical results of stochastic evolution equations in a way that gradually builds readers’ intuition. | Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

GBP 69.99
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Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

Linear Models and the Relevant Distributions and Matrix Algebra: A Unified Approach Volume 2 covers several important topics that were not included in the first volume. The second volume complements the first providing detailed solutions to the exercises in both volumes thereby greatly enhancing its appeal for use in advanced statistics programs. This volume can serve as a valuable reference. It can also serve as a resource in a mathematical statistics course for use in illustrating various theoretical concepts in the context of a relatively complex setting of great practical importance. Together with the first volume this volume provides a largely self-contained treatment of an important area of statistics and should prove highly useful to graduate students and others. Key Features: Includes solutions to the exercises from both the first and second volumes Includes coverage of several topics not covered in the first volume Highly valuable as a reference book for graduate students and researchers | Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

GBP 89.99
1

Handbook of Item Response Theory Volume 1: Models

Handbook of Item Response Theory Volume 1: Models

Drawing on the work of internationally acclaimed experts in the field Handbook of Item Response Theory Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes the need of deeper parameterization due to a multilevel or hierarchical structure of the response data and other extensions and insights. In Volume One all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally treat the estimation of its parameters show how to evaluate its fit to empirical data illustrate the use of the model through an empirical example and discuss further applications and remaining research issues. | Handbook of Item Response Theory Volume 1: Models

GBP 66.99
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An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

This solution manual accompanies the first part of the book An Illustrated Introduction toTopology and Homotopy by the same author. Except for a small number of exercises inthe first few sections we provide solutions of the (228) odd-numbered problemsappearing in first part of the book (Topology). The primary targets of this manual are thestudents of topology. This set is not disjoint from the set of instructors of topologycourses who may also find this manual useful as a source of examples exam problems etc. | An Illustrated Introduction to Topology and Homotopy Solutions Manual for Part 1 Topology

GBP 36.99
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Computer Systems Architecture

Computer Systems Architecture

Computer Systems Architecture provides IT professionals and students with the necessary understanding of computer hardware. It addresses the ongoing issues related to computer hardware and discusses the solutions supplied by the industry. The book describes trends in computing solutions that led to the current available infrastructures tracing the initial need for computers to recent concepts such as the Internet of Things. It covers computers’ data representation explains how computer architecture and its underlying meaning changed over the years and examines the implementations and performance enhancements of the central processing unit (CPU). It then discusses the organization hierarchy and performance considerations of computer memory as applied by the operating system and illustrates how cache memory significantly improves performance. The author proceeds to explore the bus system algorithms for ensuring data integrity input and output (I/O) components methods for performing I/O various aspects relevant to software engineering and nonvolatile storage devices such as hard drives and technologies for enhancing performance and reliability. He also describes virtualization and cloud computing and the emergence of software-based systems’ architectures. Accessible to software engineers and developers as well as students in IT disciplines this book enhances readers’ understanding of the hardware infrastructure used in software engineering projects. It enables readers to better optimize system usage by focusing on the principles used in hardware systems design and the methods for enhancing performance.

GBP 44.99
1

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations: Volume I is the first part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume begins with a basic introduction to multiplicative differential equations and then moves on to first and second order equations as well as the question of existence and unique of solutions. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. Multiplicative Differential Equations: Volume 2 is the second part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume is devoted to the theory of multiplicative differential systems. The asymptotic behavior of the solutions of such systems is studied. Stability theory for multiplicative linear and nonlinear systems is introduced and boundary value problems for second order multiplicative linear and nonlinear equations are explored. The authors also present first order multiplicative partial differential equations. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. | Multiplicative Differential Equations Two Volume Set

GBP 170.00
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Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

Although the analysis of scattering for closed bodies of simple geometric shape is well developed structures with edges cavities or inclusions have seemed until now intractable to analytical methods. This two-volume set describes a breakthrough in analytical techniques for accurately determining diffraction from classes of canonical scatterers with comprising edges and other complex cavity features. It is an authoritative account of mathematical developments over the last two decades that provides benchmarks against which solutions obtained by numerical methods can be verified. The first volume Canonical Structures in Potential Theory develops the mathematics solving mixed boundary potential problems for structures with cavities and edges. The second volume Acoustic and Electromagnetic Diffraction by Canonical Structures examines the diffraction of acoustic and electromagnetic waves from several classes of open structures with edges or cavities. Together these volumes present an authoritative and unified treatment of potential theory and diffraction-the first complete description quantifying the scattering mechanisms in complex structures. | Canonical Problems in Scattering and Potential Theory Part 1 Canonical Structures in Potential Theory

GBP 56.99
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Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. Janet Davis Associate Professor and Microsoft Chair of Computer Science Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. Marie desJardins Dean of the College of Organizational Computational and Information Sciences Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. James Deverick Senior Lecturer The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. Daniel Kaplan DeWitt Wallace Professor Macalester College Discovering Computer Science: Interdisciplinary Problems Principles and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python appropriate for a first course for computer science majors a more targeted disciplinary computing course or at a slower pace any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process contextualizing programming as an essential component. Then as the book progresses each chapter guides students through solutions to increasingly complex problems using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles such as abstraction efficiency testing and algorithmic techniques offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries over 750 homework exercises and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www. discoveringcs. net — includes more advanced content solutions to selected exercises sample code and data files and pointers for further exploration. | Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

GBP 74.99
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Survival Analysis with Interval-Censored Data A Practical Approach with Examples in R SAS and BUGS

Survival Analysis with Interval-Censored Data A Practical Approach with Examples in R SAS and BUGS

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R SAS and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features:-Provides an overview of frequentist as well as Bayesian methods. Include a focus on practical aspects and applications. Extensively illustrates the methods with examples using R SAS and BUGS. Full programs are available on a supplementary website. The authors:Kris Bogaerts is project manager at I-BioStat KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat KU Leuven. His research interests include Bayesian methods longitudinal data analysis statistical modelling analysis of dental data interval-censored data misclassification issues and clinical trials. He is the founding chair of the Statistical Modelling Society past-president of the International Society for Clinical Biostatistics and fellow of ISI and ASA. | Survival Analysis with Interval-Censored Data A Practical Approach with Examples in R SAS and BUGS

GBP 44.99
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Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1 the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2 the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally in Section 3 the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Covers applications and examples from biology chemistry computer science data science electrical and mechanical engineering economics mathematics physics statistics and binary oscillator computing Full solutions to exercises are available as Jupyter notebooks on the Web Support Material GitHub Repository of Python Files and Notebooks: https://github. com/proflynch/CRC-Press/ Solutions to All Exercises: Section 1: An Introduction to Python: https://drstephenlynch. github. io/webpages/Solutions_Section_1. html Section 2: Python for Scientific Computing: https://drstephenlynch. github. io/webpages/Solutions_Section_2. html Section 3: Artificial Intelligence: https://drstephenlynch. github. io/webpages/Solutions_Section_3. html

GBP 52.99
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Practical Multivariate Analysis

Practical Multivariate Analysis

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach with excellent examples and good guidance on computing the book is particularly popular for teaching outside statistics i. e. in epidemiology social science business etc. The sixth edition has been updated with a new chapter on data visualization a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area particularly for non-statisticians. Key Features:Provides a comprehensive practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples guidance on computing and exercises. Updated with a new chapter on data visualization. | Practical Multivariate Analysis

GBP 44.99
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Handbook of Statistics in Clinical Oncology

Handbook of Statistics in Clinical Oncology

Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor this third edition covers the newest developments involved in the design and analysis of cancer clinical trials incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations phase III trial designs for targeted agents and for testing the ability of markers adaptive trial designs cure rate survival models statistical methods of imaging as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.

GBP 52.99
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