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Foundations of Applied Statistical Methods (Paperback, Softcover reprint of the original 1st ed. 2014)
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Foundations of Applied Statistical Methods (Paperback, Softcover reprint of the original 1st ed. 2014)
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This is a text in methods of applied statistics for researchers who
design and conduct experiments, perform statistical inference, and
write technical reports. These research activities rely on an
adequate knowledge of applied statistics. The reader both builds on
basic statistics skills and learns to apply it to applicable
scenarios without over-emphasis on the technical aspects.
Demonstrations are a very important part of this text. Mathematical
expressions are exhibited only if they are defined or intuitively
comprehensible. This text may be used as a self review
guidebook for applied researchers or as an introductory statistical
methods textbook for students not majoring in statistics.​
Discussion includes essential probability models, inference of
means, proportions, correlations and regressions, methods for
censored survival time data analysis, and sample size
determination. The author has over twenty years of
experience on applying statistical methods to study
design and data analysis in collaborative medical research
setting as well as on teaching. He received
his PhD from University of Southern California
Department of Preventive Medicine, received a post-doctoral
training at Harvard Department of Biostatistics, has held
faculty appointments at UCLAÂ School of Medicine and Harvard
Medical School, and currently a biostatistics faculty member
at Massachusetts General Hospital and Harvard Medical
School in Boston, Massachusetts, USA.Â
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