Praise for Common Errors in Statistics (and How to Avoid
Them)
‘A very engaging and valuable book for all who use statistics in
any setting.’
–CHOICE
‘Addresses popular mistakes often made in data collection and
provides an indispensable guide to accurate statistical analysis
and reporting. The authors’ emphasis on careful practice, combined
with a focus on the development of solutions, reveals the true
value of statistics when applied correctly in any area of
research.’
–MAA Reviews
Common Errors in Statistics (and How to Avoid Them), Fourth
Edition provides a mathematically rigorous, yet readily
accessible foundation in statistics for experienced readers as well
as students learning to design and complete experiments, surveys,
and clinical trials.
Providing a consistent level of coherency throughout, the highly
readable Fourth Edition focuses on debunking popular myths,
analyzing common mistakes, and instructing readers on how to choose
the appropriate statistical technique to address their specific
task. The authors begin with an introduction to the main sources of
error and provide techniques for avoiding them. Subsequent chapters
outline key methods and practices for accurate analysis, reporting,
and model building. The Fourth Edition features newly added
topics, including:
* Baseline data
* Detecting fraud
* Linear regression versus linear behavior
* Case control studies
* Minimum reporting requirements
* Non-random samples
The book concludes with a glossary that outlines key terms, and
an extensive bibliography with several hundred citations directing
readers to resources for further study.
Presented in an easy-to-follow style, Common Errors in
Statistics, Fourth Edition is an excellent book for students
and professionals in industry, government, medicine, and the social
sciences.
Circa l’autore
PHILLIP I. GOOD, Ph D, is Operations Manager at
Information Research, a consulting firm specializing in statistical
solutions for private and public organizations. He has published
more than thirty scholarly works and more than 600 popular
articles. Dr. Good is the author of Introduction to Statistics
Through Resampling Methods and R/S-PLUS®, Introduction to
Statistics Through Resampling Methods and Microsoft Office
Excel®, and Analyzing the Large Number of Variables in
Biomedical and Satellite Imagery, all published by Wiley.
JAMES W. HARDIN, Ph D, is Associate Professor and
Biostatistics Division Director of the Department of Epidemiology
and Biostatistics at the University of South Carolina. Dr. Hardin
has published extensively in his areas of research interest, which
include generalized linear models, generalized estimating
equations, survival models, and computational statistics. He is
also an affiliate faculty member of the Institute for Families in
Society at the University of South Carolina.
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