A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results. The referenceunveils modern approaches vital to understanding, creating, and evaluating data obtained throughoutthe various stages of clinical trial design and analysis. Accessible and comprehensive, the first volume in a two-part set includes newly-written articles as well as established literature from the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing data, covariates, biased-coin randomization, repeated measurements, and simple randomization, the book also provides in-depth coverage of the various trial designs found within phase I-IV trials. Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs also features: Detailed chapters on the type of trial designs, such as adaptive, crossover, group-randomized, multicenter, non-inferiority, non-randomized, open-labeled, preference, prevention, and superiority trials Over 100 contributions from leading academics, researchers, and practitioners An exploration of ongoing, cutting-edge clinical trials on early cancer and heart disease, mother-to-child human immunodeficiency virus transmission trials, and the AIDS Clinical Trials Group Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs is an excellent reference for researchers, practitioners, and students in the fields of clinicaltrials, pharmaceutics, biostatistics, medical research design, biology, biomedicine, epidemiology,and public health.

A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored. Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians. Key features include: Description of the physicochemical analysis of forensic trace evidence. Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data. Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation. Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR. Practical examples and recommendations for the use of all these methods in practice.

Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® InfoSphere® Data Explorer (Data Explorer) enables organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in "silos" in enterprise applications, different data repositories, and in different data formats. Applications developed using Data Explorer identify data relationships across these silos, unlocking the business value that is inherent in a unified, 360-degree view of the information related to business entities, such as application users, customers, products, and so on. This IBM Redbooks® publication provides information about InfoSphere Data Explorer 9.0. It gives an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks: Understand the core capabilities of Data Explorer Engine and Data Explorer Application Builder. Realize the full potential of Data Explorer applications. Describe the integration and value of the combination of Data Explorer and InfoSphere Master Data Management. Build a 360-degree information application. Learn by example by following a hands-on lab scenario.

You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MATLAB, to focus more on building and analyzing models as opposed to configuring tedious calculations. Explorations of Mathematical Models in Biology with MATLAB provides an introduction to model creation using MATLAB, followed by the translation, analysis, interpretation, and observation of the models. With an integrated and interdisciplinary approach that embeds mathematical modeling into biological applications, the book illustrates numerous applications of mathematical techniques within biology, ecology, and environmental sciences. Featuring a quantitative, computational, and mathematical approach, the book includes: Examples of real-world applications, such as population dynamics, genetics, drug administration, interacting species, and the spread of contagious diseases, to showcase the relevancy and wide applicability of abstract mathematical techniques Discussion of various mathematical concepts, such as Markov chains, matrix algebra, eigenvalues, eigenvectors, first-order linear difference equations, and nonlinear first-order difference equations Coverage of difference equations to model a wide range of real-life discrete time situations in diverse areas as well as discussions on matrices to model linear problems Solutions to selected exercises and additional MATLAB codes Explorations of Mathematical Models in Biology with MATLAB is an ideal textbook for upper-undergraduate courses in mathematical models in biology, theoretical ecology, bioeconomics, forensic science, applied mathematics, and environmental science. The book is also an excellent reference for biologists, ecologists, mathematicians, biomathematicians, and environmental and resource economists.

More college students use Amos Gilat's MATLAB: An Introduction with Applications than any other MATLAB textbook. This concise book is known for its just-in-time learning approach that gives students information when they need it. The new edition gradually presents the latest MATLAB functionality in detail. Equally effective as a freshmen-level text, self-study tool, or course reference, the book is generously illustrated through computer screen shots and step-by-step tutorials, with abundant and motivating applications to problems in mathematics, science, and engineering.

Practical Oracle Database Appliance is a hands-on book taking you through the components and implementation of the Oracle Database Appliance. Learn about architecture, installation, configuration, and reconfiguration. Install and configure the Oracle Database Appliance with confidence. Make the right choices between the various configurations in order to realize your performance requirements. Manage and monitor the appliance to meet business requirements. Protect your data through proper backup and recovery procedures. Oracle Database is one of the most relied-up databases in industry. For many years Oracle Database was a software product that had to be installed and configured at no small expense. The Oracle Database Appliance makes Oracle Database into a plug-and-play proposition: Plug the appliance into the wall socket, and turn it on. That's it. You have a running database server. This book takes you through that beginning point and beyond, helping you to realize in your own organization the ease of deployment and management represented by the appliance. Covers the Oracle Database Appliance from architecture through configuration. Provides a technical resource for system- and database administrators. Examines practical use cases for the Oracle Database Appliance. What you'll learn Assemble the Oracle Database Appliance. Understand the architecture and its implications for deployment. Configure network access and protect against intrusion. Monitor and troubleshoot the appliance. Identify and choose options for good performance. Diagnose problems and install patch sets when needed. Who this book is for Practical Oracle Database Appliance is for the Oracle database administrator or system administrator who currently manages, or will be implementing, the Oracle Database Appliance within a small- to medium-size business, or who is using the virtualization feature set to deploy numerous appliances within a large enterprise having many branch locations.

Business Intelligence (BI) is a broad term relating to applications designed to analyze data for purposes of understanding and acting on the key metrics that drive profitability in an enterprise. Key to analyzing that data is providing fast, easy access to it while delivering it in formats or tools that best fit the needs of the end user. At the core of any business intelligence solution are end user query and reporting tools that provide intuitive access to data supporting a spectrum of end users from executives to "power users," from spreadsheet aficionados to the external Internet consumer. IBM® DB2 Web Query for i offers a set of modernized tools for a more robust, extensible, and productive reporting solution than the popular Query for System i tool (also known as Query/400). IBM DB2 Web Query for i preserves investments in the reports developed with Query/400 by offering a choice of importing definitions into the new technology or continuing to run existing Query/400 reports as-is. But it also offers significant productivity and performance enhancements by leveraging the latest in DB2 for i query optimization technology. This IBM Redbooks® publication provides a broad understanding of the new DB2 Web Query product. It entails a group of self-explanatory tutorials to help you get up to speed quickly. Overall, this book is designed for IT users. You can use Part 2, "Tutorials for DB2 Web Query" on page 161, as stand-alone tutorials for anyone who is developing their own queries.

This IBM® Redbooks® publication provides introductory, planning, migration, and management information about InfiniBand coupling links on IBM System z® servers. The book will help you plan and implement the migration from earlier coupling links (ISC3 and ICB4) to InfiniBand coupling links. It provides step-by-step information about configuring InfiniBand connections. Information is also provided about the performance of InfiniBand links compared to other link types. This book is intended for systems programmers, data center planners, and systems engineers. It introduces and explains InfiniBand terminology to help you understand the InfiniBand implementation on System z servers. It also serves as a basis for configuration planning and management.

In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. Foreword by Ron Brachman, Chief Scientist and Head, Yahoo! Labs Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results Covers concepts and theories from the fundamental to the advanced Discusses the state of the art: development of theories and practices in vertical search ranking applications Includes detailed examples, case studies and real-world situations

"Getting Started with Beautiful Soup" is your practical guide to website scraping using Python. It teaches you how to use Beautiful Soup and the urllib2 module to extract data from websites efficiently and effectively. Through hands-on examples and clear explanations, you'll gain the skills to navigate, search, and modify HTML content. What this Book will help me do Navigate and scrape web pages using the Beautiful Soup Python library. Understand and implement the urllib2 module to access web content programmatically. Search and analyze HTML structures efficiently to extract the needed data. Modify and format extracted HTML and XML content effectively. Handle encoding and manage output formats for diverse scraping requirements. Author(s) Vineeth G. Nair is an experienced Python developer with a strong focus on web technologies, data extraction, and automation. His expertise in Python's Beautiful Soup library has helped countless learners and professionals tackle the challenges of web scraping. Vineeth combines a methodical approach to teaching with practical examples, making complex concepts accessible and actionable. Who is it for? This book is ideal for Python enthusiasts, data analysts, and budding developers looking to explore web scraping. Whether you're a beginner or have some programming experience, this book will guide you through the fundamental concepts of extracting web data. If you're aiming to delve into practical, real-world implementations of web scraping, this is the book for you.

This IBM® Redbooks® publication for the Tivoli® Storage Productivity Center for Replication for the Open environment walks you through the process of establishing sessions, and managing and monitoring copy services through Tivoli Storage Productivity Center for Replication. The book introduces enhanced copy services and new session types that are used by the latest IBM storage systems. Tips and guidance for session usage, tunable parameters, troubleshooting, and for implementing and managing Tivoli Storage Productivity Center for Replication’s latest functionality up to v5.2 also are provided. Tivoli Storage Productivity Center for Replication’s integration and latest functionality includes Global Mirror Pause with Consistency, Easy Tier® Heat Map Transfer, and IBM System Storage® SAN Volume Controller Change Volumes. As of v5.2, you can now manage z/OS® Hyperswap function from an Open System. IBM Tivoli Storage Productivity Center for Replication for Open Systems manages copy services in storage environments. Copy services are used by storage systems, such as IBM System Storage DS8000®, SAN Volume Controller, IBM Storwize® V3700, V3500, V7000, V7000 Unified, and IBM XIV® Storage systems to configure, manage, and monitor data-copy functions. Copy services include IBM FlashCopy®, Metro Mirror, Global Mirror, and Metro Global Mirror. This IBM Redbooks publication is the companion to the draft of the IBM Redbooks publication Tivoli Storage Productivity Center V5.2 Release Guide, SG24-8204. It is intended for storage administrators who ordered and installed Tivoli Storage Productivity Center version 5.2 and are ready to customize Tivoli Storage Productivity Center for Replication and connected storage. This publication also is for anyone that wants to learn more about Tivoli Storage Productivity Center for Replication in an open systems environment.

"It's our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track." --The authors of The Privacy Engineer's Manifesto The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging "personal" information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle—regardless of development methodology—from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s)...and even have a little fun. The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI. What you'll learn What's at stake as concerns data privacy become critical considerations for users, developers, and enterprise stakeholders Comprehensive foundational understanding of the issues and how they are interconnected What the emerging job description of "privacy engineer" means Key development models for privacy architecture How to assemble an engineering privacy tool box (including developing privacy use cases and requirements Organizational design implications of privacy engineering Quality Assurance (QA) methodologies for privacy policy compliance Models for valuing data The 10-point Manifesto of the Privacy Engineer Who this book is for The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying, and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. A must read for all practitioners in the personal information economy.

A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more! Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography Enables you to present vast amounts of data in ways that won't overwhelm your audience Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.

With his style of questioning alone, Jim Pyle can get more information than most other interrogators using multiple techniques. Gregory Hartley, coauthor of the best-seller How to Spot a Liar The secret to finding out anything you want to know is amazingly simple: Ask good questions.

This book, "QlikView Server and Publisher," serves as a comprehensive guide for implementing and managing QlikView Server and Publisher in enterprise environments. It walks you through the entire process, highlighting vital configuration techniques, and best practices necessary to maximize the potential of QlikView for your data solutions. What this Book will help me do Understand the best practices for configuring QlikView Server and Publisher in your organization's IT environment. Master the process of installing and maintaining QlikView Server to ensure optimal performance. Learning how to deploy enterprise-grade QlikView Server setups effectively. Gain expertise in setting up and leveraging QlikView Publisher for task scheduling and automation. Acquire the skills to integrate QlikView with advanced security solutions and monitor system efficiency. Author(s) Stephen Redmond is a renowned author and expert on data visualization platforms, particularly QlikView. With years of experience in implementing enterprise data solutions, Stephen brings practical insights to complex technical concepts. He focuses on guiding readers with systematic and approachable methods to master Qlik technologies. Who is it for? This book is designed for IT professionals and system administrators who are tasked with deploying or maintaining QlikView systems. Whether you're new to QlikView or have some experience, you'll find the material clear and beneficial to mastering enterprise implementations. The content suits individuals aiming to improve data-driven decision-making systems in their organization.

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action

This new business analytics case study challenges readers to forecast donations, plan budgets, and manage cash flow for a religious institution suffering rapidly falling contributions. Crystallizing realistic analytical challenges faced by non-profit and for-profit organizations of all kinds, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Matthew J. Drake, Duquesne University.

This new business analytics case study challenges readers to project trends and plan capacity for a fast-growing craft beer operation, so it can make the best possible decisions about expensive investments in brewing capacity. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Eric Huggins, Fort Lewis College.