Applied Multivariate Statistical Analysis in Medicine provides a
multivariate conceptual framework that allows readers to understand
the interconnectivity and interrelations among variables, which
maintains the intrinsic precision of statistical theories. With a
strong focus on the fundamental concepts of multivariate
statistical analysis, the book also gives insight into the
applications of multivariate distribution in biomedical fields. In
14 chapters Applied Multivariate Statistical Analysis in Medicine
covers the main topics of multivariate analysis methods widely used
in health science research. The content is organized progressively
from fundamental concepts to sophisticated methods. It begins with
basic descriptive statistics in multivariate analysis and follows
with parameter estimation, in addition to the hypothesis testing of
a multivariate normal distribution, which has heavy applications in
biomedical fields where the relationships among approximately
normal variables are of great interest. Keeping mathematics to a
minimum, considerable emphasis is placed on explanations and
real-world applications of core principles to maintain a good
balance between introducing theory and cultivating problem-solving
skills. This book is a very valuable reference text for clinicians,
medical researchers, and other researchers across medical and
biomedical disciplines, all of whom confront increasingly complex
statistical methods during the analysis and presentation of their
results.
General
| Imprint: |
Academic Press Inc
|
| Country of origin: |
United States |
| Release date: |
May 2024 |
| First published: |
2024 |
| Authors: |
Jingmei Jiang
|
| Dimensions: |
234 x 191mm (L x W) |
| Pages: |
550 |
| ISBN-13: |
978-0-443-23587-0 |
| Categories: |
Books
Promotions
|
| LSN: |
0-443-23587-2 |
| Barcode: |
9780443235870 |
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