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The A-Z of Error-Free Research

The A-Z of Error-Free Research

$39.95 for the pdf file

The A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication.

Transition from Student to Researcher
Helping you become a confident researcher, the book begins with an overview of when—and when not—to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.

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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

$69.00 for the hyper-link filled pdf file

Learn to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods.

This practical guide discusses the applications of Resampling methods in virtually every research area. Each chapter contains a wealth of examples along with R and Stata code. Topics include estimation, the bootstrap method, multivariate tests, decision trees, categorical data, multiple hypotheses, and model building.

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Common Errors in Statistics: Fifth Edition

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."

"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.

Refuting the Testimony of Biomechanical Experts: A Guide for Personal Injury Attorneys
Biomechanical experts who testify on behalf of the defendants in personal injury cases resulting from automobile collisions repeatedly cite the same 20-30 clinical studies in support of their findings. In this guide, we examine these studies and many others as to the limited circumstances under which these studies would be both admissible and relevant. We introduce two seldom-cited articles in the plaintiffs’ interests which are put forward as the gold standard by the experts themselves.
        by the author of "Applying Statistics in the Courtroom."

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