Nonlinear models in medical statistics
This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
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Oxford
Oxford Univ. Press
2001
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| Series: | Oxford statistical science series
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | Summary: | This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics |
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| Physical Description: | xii, 280 pages illustrations 23 cm |
| Bibliography: | Includes bibliographical reference and index |
| ISBN: | 9780198508120 0198508123 |
An introduction to medical statistics