Carefully designed for use by clinical and pharmaceutical
researchers and scientists, Handbook of Regression Analysis and
Modeling explores statistical methods that have been adapted into
biological applications for the quickly evolving field of
biostatistics. The author clearly delineates a six-step method for
hypothesis testing using data that mimics real life. Relying
heavily on computer software, he includes exploratory data analysis
to evaluate the fit of the model to the actual data. The book
presents a well-defined procedure for adding or subtracting
independent variables to the model variable and covers how to apply
statistical forecasting methods to the serially correlated data
characteristically found in clinical and pharmaceutical settings.
The stand alone chapters allow you to pick and choose which chapter
to read first and home in on the information that fits your
immediate needs. Each example is presented in computer software
format. The author uses MINITAB in the book but supplies
instructions for SAS and SPSSX, making the book easily adaptable to
individual situations. Although written with the assumption that
the reader has knowledge of basic and matrix algebra, the book
supplies a short course on matrix algebra in the appendix for those
who need it. Covering more than just statistical theory, the book
provides advanced methods that you can put to immediate use.
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Series: |
Chapman & Hall/CRC Biostatistics Series |
| Release date: |
2023 |
| Authors: |
Daryl S. Paulson
|
| Dimensions: |
229 x 152mm (L x W) |
| Format: |
Paperback
|
| Pages: |
520 |
| ISBN-13: |
978-1-03-247785-5 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
| LSN: |
1-03-247785-7 |
| Barcode: |
9781032477855 |
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