Phillip I. Good, James W. Hardin's Common Errors in Statistics (and How to Avoid Them) (4th PDF

By Phillip I. Good, James W. Hardin

ISBN-10: 1118294394

ISBN-13: 9781118294390

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Praise for universal error in information (and the right way to steer clear of Them)

"A very attractive and invaluable ebook for all who use information in any setting."

"Addresses well known error frequently made in info assortment and offers an necessary advisor to actual statistical research and reporting. The authors' emphasis on cautious perform, mixed with a spotlight at the improvement of recommendations, finds the genuine price of records whilst utilized adequately in any sector of research."
—MAA Reviews

Common error in data (and easy methods to stay away from Them), Fourth variation offers a mathematically rigorous, but effortlessly available starting place in facts for knowledgeable readers in addition to scholars studying to layout and entire experiments, surveys, and medical trials.

Providing a constant point of coherency all through, the hugely readable Fourth version makes a speciality of debunking well known myths, examining universal errors, and teaching readers on tips on how to pick out the precise statistical strategy to tackle their particular activity. The authors commence with an advent to the most assets of errors and supply suggestions for averting them. next chapters define key tools and practices for actual research, reporting, and version development. The Fourth version good points newly extra themes, including:

* Baseline data
* Detecting fraud
* Linear regression as opposed to linear behavior
* Case regulate studies
* minimal reporting requirements
* Non-random samples
* The ebook concludes with a thesaurus that outlines keywords, and an intensive bibliography with numerous hundred citations directing readers to assets for additional study.

Presented in an easy-to-follow variety, universal blunders in statistics, Fourth variation is a superb ebook for college kids and execs in undefined, executive, medication, and the social sciences.

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Additional info for Common Errors in Statistics (and How to Avoid Them) (4th Edition)

Example text

In the event that repeat angiography demonstrates restenosis in association with objective evidence of recurrent ischemia between zero and six months, that angiogram will be analyzed as the follow-up angiogram. An angiogram performed for any reason that does not show restenosis will qualify as a follow-up angiogram only if it is performed at least four months after the index intervention. 36 PART I FOUNDATIONS In some cases, recurrent ischemia may develop within 14 days after the procedure. ” Now, that is comprehensive, isn’t it?

All you have to do is lie. Just recognize that if you test an after-the-fact hypothesis without identifying it as such, you are guilty of scientific fraud. When you design an experiment, decide at the same time whether you wish to test your hypothesis against a two-sided or a one-sided alternative. A two-sided alternative dictates a two-tailed test; a one-sided alternative dictates a one-tailed test. As an example, suppose we decide to do a follow-on study of the cancer registry to confirm our original finding that men diagnosed as having tumors live significantly longer than women similarly diagnosed.

Large-scale clinical trials and surveys have a further burden: the subjects themselves. Potential subjects can and do refuse to participate. 5). 5. A Typical Clinical Trial. Dropouts and non-compliant patients occur at every stage. Reprinted from Good, The Manager’s Guide to Design and Conduct of Clinical Trials, Second Edition, Copyright 2006, with the permission of John Wiley & Sons, Inc. 44 PART I FOUNDATIONS do not bother to show up for an appointment. Thirty percent of the patients who had received a life-saving cardiac procedure failed to follow up with their physician.

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Common Errors in Statistics (and How to Avoid Them) (4th Edition) by Phillip I. Good, James W. Hardin

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