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Randomized Phase II Cancer Clinical Trials

Randomized Phase II Cancer Clinical Trials

In cancer research a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues including increased false positivity of phase II trial results and negative phase III trials. To rectify these problems oncologists and biostatisticians have begun to use a randomized phase II trial that compares an experimental therapy with a prospective control therapy. Randomized Phase II Cancer Clinical Trials explains how to properly select and accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm phase II trials since some methodologies for randomized phase II trials stem from single-arm phase II trials and many phase II cancer clinical trials still use single-arm designs. The book then presents methods for randomized phase II trials and describes statistical methods for both single-arm and randomized phase II trials. Although the text focuses on phase II cancer clinical trials the statistical methods covered can also be used (with minor modifications) in phase II trials for other diseases and in phase III cancer clinical trials. Suitable for cancer clinicians and biostatisticians this book shows how randomized phase II trials with a prospective control resolve the shortcomings of traditional single-arm phase II trials. It provides readers with numerous statistical design and analysis methods for randomized phase II trials in oncology.

GBP 44.99
1

Microcontroller Engineering with MSP432 Fundamentals and Applications

A Systematic Approach to Learning Robot Programming with ROS

A Systematic Approach to Learning Robot Programming with ROS

A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS how to understand ROS packages how to use ROS tools how to incorporate existing ROS packages into new applications and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation. The book is organized into six parts. It begins with an introduction to ROS foundations including writing ROS nodes and ROS tools. Messages Classes and Servers are also covered. The second part of the book features simulation and visualization with ROS including coordinate transforms. The next part of the book discusses perceptual processing in ROS. It includes coverage of using cameras in ROS depth imaging and point clouds and point cloud processing. Mobile robot control and navigation in ROS is featured in the fourth part of the book The fifth section of the book contains coverage of robot arms in ROS. This section explores robot arm kinematics arm motion planning arm control with the Baxter Simulator and an object-grabber package. The last part of the book focuses on system integration and higher-level control including perception-based and mobile manipulation. This accessible text includes examples throughout and C++ code examples are also provided at https://github. com/wsnewman/learning_ros

GBP 62.99
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Hospitality Revenue Management Concepts and Practices

Urolithiasis Medical and Surgical Management of Stone Disease

Introduction to NFL Analytics with R

Introduction to NFL Analytics with R

It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrate advanced numbers into their game plans and commentators throughout broadcasts regularly use terms such as air yards CPOE and EPA on a casual basis. This rapid growth combined with an increasing accessibility to NFL data has helped create a burgeoning amateur analytics movement highlighted by the NFL’s annual Big Data Bowl. Because learning a coding language can be a difficult enough endeavor Introduction to NFL Analytics with R is purposefully written in a more informal format than readers of similar books may be accustomed to opting to provide step-by-step instructions in a structured jargon-free manner. Key Coverage: • Installing R RStudio and necessary packages • Working and becoming fluent in the tidyverse • Finding meaning in NFL data with examples from all the functions in the nflverse family of packages • Using NFL data to create eye-catching data visualizations • Building statistical models starting with simple regressions and progressing to advanced machine learning models using tidymodels and eXtreme Gradient Boosting The book is written for novices of R programming all the way to more experienced coders as well as audiences with differing expected outcomes. Professors can use Introduction to NFL Analytics with R to provide data science lessons through the lens of the NFL while students can use it as an educational tool to create robust visualizations and machine learning models for assignments. Journalists bloggers and arm-chair quarterbacks alike will find the book helpful to underpin their arguments by providing hard data and visualizations to back up their claims.

GBP 52.99
1

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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Designing for Safe Use 100 Principles for Making Products Safer

Designing for Safe Use 100 Principles for Making Products Safer

How do you prevent a critical care nurse from accidentally delivering a morphine overdose to an ill patient? Or ensure that people don't insert their arm into a hydraulic mulcher? And what about enabling trapped airline passengers to escape safely in an emergency? Product designers and engineers face myriad such questions every day. Failure to answer them correctly can result in product designs that lead to injury or even death due to use error. Historically designers and engineers have searched for answers by sifting through complicated safety standards or obscure industry guidance documents. Designing for Safe Use is the first comprehensive source of safety-focused design principles for product developers working in any industry. Inside you’ll find 100 principles that help ensure safe interactions with products as varied as baby strollers stepladders chainsaws automobiles apps medication packaging and even airliners. You’ll discover how protective features such as blade guards roll bars confirmation screens antimicrobial coatings and functional groupings can protect against a wide range of dangerous hazards including sharp edges that can lacerate top-heavy items that can roll over and crush fumes that can poison and small parts that can pose a choking hazard. Special book features include: Concise illustrated descriptions of design principles Sample product designs that illustrate the book’s guidelines and exemplify best practices Literature references for readers interested in learning more about specific hazards and protective measures Statistics on the number of injuries that have arisen in the past due to causes that might be eliminated by applying the principles in the book Despite its serious subject matter the book’s friendly tone surprising anecdotes bold visuals and occasional attempts at dry humor will keep you interested in the art and science of making products safer. Whether you read the book cover-to-cover or jump around the book’s relatable and practical approach will help you learn a lot about making products safe. Designing for Safe Use is a primer that will spark in readers a strong appreciation for the need to design safety into products. This reference is for designers engineers and students who seek a broad knowledge of safe design solutions. . | Designing for Safe Use 100 Principles for Making Products Safer

GBP 66.99
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