The A-Z of Error-Free Research - Good, Phillip I
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Guides readers through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. Covers techniques for developing models - a basis for future research and reporting techniques to ensure proper credit. Concludes with case-control and cohort studies. R code is included.

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Produktbeschreibung
Guides readers through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. Covers techniques for developing models - a basis for future research and reporting techniques to ensure proper credit. Concludes with case-control and cohort studies. R code is included.
Autorenporträt
Phillip I. Good is a mathematical statistician with nearly 40 years of experience in the field. He has published hundreds of articles on microcomputers and has authored nine books, including A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling and Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses. He was among the first to apply the bootstrap method in his analyses of 2 × 2 designs with a missing cell. He has also contributed to other areas of small sample statistics, including a uniformly most powerful unbiased permutation test for Type I censored data, an exact test for comparing variances, and an exact test for cross-over designs. He earned a PhD in mathematical statistics from the University of California at Berkeley.