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This book is intended for the statistician or student interested in becoming a statistical consultant, as well as clients who need to understand what is involved in the consulting process. It discusses different consulting environments, provides detailed descriptions of communication skills a consultant must possess, and provides concrete examples and case-studies of varying complexity. Emphasis is placed on the importance of engaging the client's understanding of the purpose and interpretation of statistical procedures.
This book presents the human side of statistical consulting and illustrates the problems and opportunities that can arise for the modern consultant. Statistical problems occur in almost all areas of science, in medicine, in industry, in marketing, and in finance, and a wide range of interests is catered for by the twelve contributions to this unique volume. These contributions demonstrate that statistical consultancy provides a broad spectrum of intellectually stimulating problems, as well as being a vital tool in many aspects of modern life. The book will be valuable to university and college students of statistics and to all those who use statistical techniques in a consultancy environment of any kind.
Dr. Janice Derr covers all aspects of statistical consulting. Using text and video, she integrates three themes that form the perspective of the book. First, a statistician should treat each client as a potential collaborator. Second, diversity must be appreciated. Students will see a variety of cultures, styles of communication and negotiation, and learning preferences in the book. Third, experienced statisticians and clients must work together in the process of training statistical consultants. On the CD-ROM, video segments bring the material to life and cover each aspect of statistical consulting by demonstrating good and bad techniques.
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How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a "How do I?" or "When should I?" format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.
Note: There is now a newer book, "Hints for the New Statistical Consultant," which includes most of the material in this book. This book is written for individuals with a degree in statistics or closely related field who think they may be interested in statistical consulting, but have little or no experience (which in the beginning, none of us have). There are books which focus on communicating with the client, methods of analysis, and the financial aspects of the consulting business. This book simply offers a few tips that, hopefully, will help in understanding the researcher's data, in order to answer the questions that are asked or perhaps should have been asked. There is no substitute for experience, but there are things you can do, which should help, while you are gaining that experience.
This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions. The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the i...
This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to mult...