Statistics in the Health Sciences: Theory, Applications, and Computing – eBook PDF

Description

Statistics in the Health Sciences: Theory, Applications, and Computing – eBook PDF

Statistics in the Health Sciences (PDF) delivers a “ready-to-go” well-structured product to develop advanced courses. In this ebook, the readers can find classical and new theoretical methods, open problems, and new procedures. This ebook should be appropriate for use both as a text and as a reference.

The ebook presents biostatistical results that are fresh to the current set of ebooks on the market and results that are even new with respect to the modern scientific literature. Numerous of these results can be found only in this ebook.

Additional ISBNs: 978-1138196896, 978-1315293769, 978-1315293752, 1315293757, 1315293773, 978-1315293776, 9781315293752, 9781315293776

Reviews

“This very informative ebook introduces classical and novel statistical methods that theoretical and applied biostatisticians can use to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors offer a detailed discussion of methodological and applied issues in parametric, semi-parametric, and non-parametric approaches, including computationally extensive data-driven techniques, such as sequential procedures, empirical likelihood, and bootstrap methods. Several of these techniques are implemented using popular software such as R and SAS.”— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA

“It is always a delight to come across a new ebook that includes nearly all aspects of a branch of science one thought was so broad, so diverse, and so dynamic that no single ebook could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the ebook’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; basics of martingale theory; central limit theorems; Monte Carlo methods; sequential analysis; sequential change-point detection — are all included with inspiring clarity and precision. The authors are also very comprehensive and avail themselves of the most recent scholarship. They give a detailed account of the state of the art, and bring together results that were earlier scattered across disparate disciplines. This makes the ebook more than just a textbook: it is a panoramic companion to the field of Biostatistics. The ebook is self-contained, and the brief but careful exposition of the material makes it accessible to a wide audience. This is interesting to graduate students interested in getting into the field, and also to professors looking to structure a course on the subject.” — Aleksey S. Polunchenko, Department of Mathematical Sciences, the State University of New York at Binghamton

NOTE: This sale only includes the ebook Statistics in the Health Sciences: Theory, Applications, and Computing in PDF. No access codes included.