Book
An introduction to medical statistics / Martin Bland.
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a "must-have" textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles
Record details
- ISBN: 9780199589920 (pbk.)
- ISBN: 0199589925
- Physical Description: xviii, 427 pages : illustrations ; 25 cm.
- Edition: Fourth edition.
- Publisher: Oxford ; Oxford University Press, 2015.
Content descriptions
| General Note: | Previous ed.: 2000. |
| Bibliography, etc. Note: | Includes bibliographical references and index. |
Search for related items by subject
| Subject: | Medical statistics. |
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Available copies
- 1 of 1 copy available at College of the Rockies.
Holds
- 0 current holds with 1 total copy.
Show Only Available Copies
| Location | Call Number / Copy Notes | Barcode | Shelving Location | Circulation Modifier | Holdable? | Status | Due Date | Courses |
|---|---|---|---|---|---|---|---|---|
| Cranbrook Campus | RA 409 .B55 2015 (Text) | 31111000152791 | CRANBROOK | Volume hold | Available | - |
- Gardners
An Introduction to Medical Statistics, fourth edition, is a 'must-have' textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice. - Oxford University Press
An Introduction to Medical Statistics, fourth edition, is a 'must-have' textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice. - Oxford University Press
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature.
Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice.
End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
