Clinical Trial Simulations: Applications and Trends (AAPS Advances in the Pharmaceutical Sciences Series)

Clinical Trial Simulations: Applications and Trends (AAPS Advances in the Pharmaceutical Sciences Series) Review

This edition includes both updates and new uses and issues concerning CTS, along with case studies of how clinical trial simulations are being applied in various therapeutic and application areas. Importantly, the book expands on the utility of CTS for informing decisions during drug development and regulatory review. Each chapter author was selected on the basis of demonstrated expertise in state-of-the-art application of CTS. The target audience for this volume includes researchers and scientists who wish to consider use of simulations in the design, analysis, or regulatory review and guidance of clinical trials. This book does not embrace all aspects of trial design, nor is it intended as a complete recipe for using computers to design trials. Rather, it is an information source that enables the reader to gain understanding of essential background and knowledge for practical applications of simulation for clinical trial design and analysis. It is assumed that the reader has a working understanding of pharmacokinetics and pharmacodynamics, modeling, pharmacometric analyses, and/or the drug development and regulatory processes.

Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)

Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics) Review

This accessible new edition explores the major topics in Monte Carlo simulation

Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences.

The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including:

• Markov Chain Monte Carlo
• Variance reduction techniques such as the transform likelihood ratio method and the screening method
• The score function method for sensitivity analysis
• The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization
• The cross-entropy method to rare events estimation and combinatorial optimization
• Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method

An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB programs.

Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.

Simulation with Arena with CD (McGraw-Hill Series in Industrial Engineering and Management)

Simulation with Arena with CD (McGraw-Hill Series in Industrial Engineering and Management) Review

This fourth edition of Simulation with Arena has the same goal as the first three editions: to provide a comprehensive treatment of simulation concepts in general and the Arena simulation software in particular. It starts by having the reader develop simple, well-animated, high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the joint nature of these activities in good simulation studies. The objective is to help the reader carry out effective simulation modeling, analysis, and projects using the Arena simulation system. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. Included is a CD containing the current version of the Arena academic software and the examples referenced throughout the text.

Starting with an introduction to simulation concepts, the book progresses through an overview of the Arena software, basic model development, input analysis, additional modeling constructs, output analysis, and advanced modeling. It also includes chapters on integrating Arena simulation models with other applications, specialized statistical issues, continuous simulation, and conducting a successful simulation study. It is intended primarily to be a text in a first course on simulation or for self-study. However, the later chapters could be incorporated into an advanced or graduate-level course.

Building on the success of the first three editions, published in 1998, 2002, and 2004, this edition retains the basic outline and tutorial style, built around a sequence of successively more complicated examples. All the examples and discussion, however, have been modified and updated to be consistent with the current version of the Arena software, and additional examples have been developed, along with more exercises. As before, a password-protected website for instructors provides support in terms of downloadable lecture slides and solutions to end-of-chapter exercises.

The book draws heavily on the experience and expertise of the authors, a professor at the University of Cincinnati specializing in simulation, and two seasoned members of Rockwell Software (formerly Systems Modeling), the developers of Arena, who are active in product design and development, training, consulting, and applications.

Developing Organizational Simulations: A Guide for Practitioners and Students (Applied Psychology Series)

Developing Organizational Simulations: A Guide for Practitioners and Students (Applied Psychology Series) Review

This book provides a concise source of information on effective and practical methods for constructing simulation exercises for the assessment of psychological characteristics relevant to effectiveness in work organizations. Simulation exercises present the examinee with descriptions of complex situations that stimulate aspects of real-world settings and problems. Examinees are required to demonstrate overt behavior in handling the problems presented. The process and/or products of this behavior are observed by trained assessors who observe behavior, classify behaviors into relevant dimensions, and evaluate effectiveness. Simulations can provide assessments of abilities, skills, and competencies not readily measured by other testing techniques.

Developing Organizational Simulations provides practical guidance for defining the attributes to be assessed, constructing the stimulus material, and designing methods for administration and scoring. Several different situational exercises are presented, including business games, leaderless group discussions, in-baskets, one-on-one interaction simulations, and case studies/presentations. Steps to ensure the reliability, validity, and legal defensibility of assessments from simulations are described. In addition, the book presents the use of simulation exercises for the purposes of personnel selection, training, development, and certification. Professional standards and guidelines relevant to the construction of simulation exercises are also covered.

Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering)

Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering) Review

"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002

CMOS Circuit Design, Layout, and Simulation, 3rd Edition (IEEE Press Series on Microelectronic Systems)

CMOS Circuit Design, Layout, and Simulation, 3rd Edition (IEEE Press Series on Microelectronic Systems) Review

The Third Edition of CMOS Circuit Design, Layout, and Simulation continues to cover the practical design of both analog and digital integrated circuits, offering a vital, contemporary view of a wide range of analog/digital circuit blocks including: phase-locked-loops, delta-sigma sensing circuits, voltage/current references, op-amps, the design of data converters, and much more. Regardless of one's integrated circuit (IC) design skill level, this book allows readers to experience both the theory behind, and the hands-on implementation of, complementary metal oxide semiconductor (CMOS) IC design via detailed derivations, discussions, and hundreds of design, layout, and simulation examples.

PgMP Exam Success Series: Bootcamp Manual (with Exam Simulation Download)

PgMP Exam Success Series: Bootcamp Manual (with Exam Simulation Download) Review

The PgMP® Exam Success Series: Bootcamp Manual is the foundation of the PgMP® Exam Success Series. This is a must have for anyone preparing to take the PgMP® Exam. This book is complete with valuable exam review information, including must-know topics, terms and definitions, formulas, exercises, and situational question translation. The Bootcamp Manual includes an integrated test of 170 questions in the attached Exam Simulation Download. It also includes 20 questions with full explanation of the correct and incorrect answers for each topic area. It includes Input, Tools, Techniques, Outputs (ITTO's) matching exercises to help reinforce PMI terminology and processes. The Manual also has mindmaps for every knowledge area.

Blueprints Computer-Based Case Simulation Review: USMLE Step 3 (Blueprints Series)

Blueprints Computer-Based Case Simulation Review: USMLE Step 3 (Blueprints Series) Review

Blueprints Computer-Based Case Simulation Review: USMLE Step 3 is the first and only book to break down the computer-based case simulations administered on day two of the Step 3 exam. Many review books help you study for the multiple-choice question portion of the USMLE Step 3, but none of them prepare you for the computer-based cases.

More than a practical guide, this must-have resource is your key to scoring high. The focused strategy for handling cases lets you apply your clinical knowledge to the exam with confidence.

If you want to maximize your Step 3 test score, you need Blueprints Computer-Based Case Simulation Review: USMLE Step 3. The book will help you

• master the CCS test format
• understand the tricks to treating computerized patients
• predict your CCS Case topics before the exam
• learn how your exam is scored

Special advice for International Medical Graduates is included.

Understanding Molecular Simulation, Second Edition: From Algorithms to Applications (Computational Science Series, Vol 1)

Understanding Molecular Simulation, Second Edition: From Algorithms to Applications (Computational Science Series, Vol 1) Review

Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.

Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on:

· Transition path sampling and diffusive barrier crossing to simulaterare events
· Dissipative particle dynamic as a course-grained simulation technique
· Novel schemes to compute the long-ranged forces
· Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations
· Multiple-time step algorithms as an alternative for constraints
· Defects in solids
· The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules
· Parallel tempering for glassy Hamiltonians

Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.

Simulation and Optimization in Finance + Website: Modeling with MATLAB, @Risk, or VBA (Frank J. Fabozzi Series)

Simulation and Optimization in Finance + Website: Modeling with MATLAB, @Risk, or VBA (Frank J. Fabozzi Series) Review

An introduction to the theory and practice of financial simulation and optimization

In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.

This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications.

• Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software
• Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities
• Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB)

Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.

PMP Exam Success Series: Bootcamp Manual (with Exam Simulation Download)

PMP Exam Success Series: Bootcamp Manual (with Exam Simulation Download) Review

This product is for those taking the PMP Exam after June 30, 2009. This aligns with the PMBOK Guide Fourth Edition.The PMP® Exam Success Series: Bootcamp Manual is the foundation of the PMP Exam Success Series (currently used in 67 countries). This is a must have for anyone preparing to take the PMP Exam. This book is complete with valuable exam preparation information, including "Crosswind Must Knows" for each exam topic, terms and definitions, formulas, exercises (matching, Earned Value and Network Diagram Analysis) and situational questions translation. It has a complete integrated test of 200 questions, like the real exam in the attached EXAM SIMULATION Application Download. As well as 30 questions with full explanation of the correct and incorrect answers for each topic area. It includes matching and Input/Tools & Techniques/Outputs (ITTO's) matching exercises to help reinforce PMI terminology and processes used on the exam. Included also are mind maps for every exam knowledge area. Also included in the download are PDF files of exercises in the book to allow repeated use of the exercises.