While continuing to focus on methods of testing for two-sided
equivalence, Testing Statistical Hypotheses of Equivalence and
Noninferiority, Second Edition gives much more attention to
noninferiority testing. It covers a spectrum of equivalence testing
problems of both types, ranging from a one-sample problem with
normally distributed observations of fixed known variance to
problems involving several dependent or independent samples and
multivariate data. Along with expanding the material on
noninferiority problems, this edition includes new chapters on
equivalence tests for multivariate data and tests for relevant
differences between treatments. A majority of the computer programs
offered online are now available not only in SAS or Fortran but
also as R scripts or as shared objects that can be called within
the R system. This book provides readers with a rich repertoire of
efficient solutions to specific equivalence and noninferiority
testing problems frequently encountered in the analysis of real
data sets. It first presents general approaches to problems of
testing for noninferiority and two-sided equivalence. Each
subsequent chapter then focuses on a specific procedure and its
practical implementation. The last chapter describes basic
theoretical results about tests for relevant differences as well as
solutions for some specific settings often arising in practice.
Drawing from real-life medical research, the author uses numerous
examples throughout to illustrate the methods.
General
Imprint: |
Taylor & Francis
|
Country of origin: |
United States |
Release date: |
June 2010 |
First published: |
2010 |
Authors: |
Stefan Wellek
|
Dimensions: |
234 x 156 x 31mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
432 |
Edition: |
2nd edition |
ISBN-13: |
978-1-4398-0818-4 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
1-4398-0818-X |
Barcode: |
9781439808184 |
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