A hands-on guide to the use of quantitative methods and software for making successful business decisions
The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to...
A hands-on guide to the use of quantitative methods and software for making successful business decisions
Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and -ready-made- software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes:
- Descriptions of basic statistical concepts and principles in an informal...
Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistica...
In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation.
Each chapter illustrates a specific technique, from Stochastic Point...
In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highwa...
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.
Through examples, exercises and a combination of...
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and compu...
Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is...
How to identify optimal phase II trial designs
Providing a practical guide containing the information needed to make crucial decision...
This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It also provides understanding and practical guidance on the application of contemporary statistical methods to contemporary issues in safety evaluation during medical product development. Each chapter provides sufficient detail to the reader to undertake the design and analysis of experiments at various stages of product development, including comprehensive references to the relevant...
This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clini...
Hospitals are becoming more complex and monitoring is increasing both because staff want their data analyzed and because of increasing mandated surveillance. This book provides a clear, easy-to-understand introduction to statistical methods using R, with emphasis on the needs of scientists in hospital departments who are responsible for producing a growing number of reports and are frequently actively involved in improving safety, but who have fairly limited statistical expertise. Although some complex methods are employed, such as the Bayesian random-effects model, these are kept to a simple...
Hospitals are becoming more complex and monitoring is increasing both because staff want their data analyzed and because of increasing mandated survei...
This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable.
The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively.
The book is illustrated...
This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry,...
A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics
With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various modern statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference methods and the field of diagnostic medicine.
Organized by types of data, chapter...
A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics<...
Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance...
Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing i...
