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Medical Statistics

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Blackwell Publishing is pleased to announce that this book received a Highly Commended designation in the 2004 BMA Medical Book Competition. The judges praised it as a delightful presentation of a technical subject, noting its excellence among statistics books for doctors. The authors have crafted an introductory textbook that clarifies and demystifies statistics while offering comprehensive coverage of both basic and advanced methods. The second edition has been thoroughly revised to incorporate modern statistical techniques while maintaining the approachable, non-mathematical style of its predecessor. It includes detailed discussions on commonly used regression models—such as multiple linear, logistic, Poisson, and Cox regression—alongside a chapter on general regression modeling issues. New chapters cover advanced topics like meta-analysis, likelihood, bootstrapping, robust standard errors, and analysis of clustered data. Targeted at medical statistics students, researchers, public health practitioners, and clinicians, the book serves as both a teaching and reference tool. Its clear format features highlighted formulas and worked examples, ensuring concepts are presented simply and practically. The second edition emphasizes appropriate method selection with new chapters on analysis strategies and measures of association and impact. An accompanying website offers downloadable statistical datasets, sample chapters, and update

Zakup książki

Medical Statistics, Jonathan Sterne, Betty Kirkwood

Język
Rok wydania
2003
Oprawa
(miękka)
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Metody płatności

4,1
Bardzo dobra
56 Ocena

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Tytuł
Medical Statistics
Język
angielski
Rok wydania
2003
Oprawa
miękka
Liczba stron
512
ISBN10
0865428719
ISBN13
9780865428713
Seria
Ocena
4,1 z 5
Opis
Blackwell Publishing is pleased to announce that this book received a Highly Commended designation in the 2004 BMA Medical Book Competition. The judges praised it as a delightful presentation of a technical subject, noting its excellence among statistics books for doctors. The authors have crafted an introductory textbook that clarifies and demystifies statistics while offering comprehensive coverage of both basic and advanced methods. The second edition has been thoroughly revised to incorporate modern statistical techniques while maintaining the approachable, non-mathematical style of its predecessor. It includes detailed discussions on commonly used regression models—such as multiple linear, logistic, Poisson, and Cox regression—alongside a chapter on general regression modeling issues. New chapters cover advanced topics like meta-analysis, likelihood, bootstrapping, robust standard errors, and analysis of clustered data. Targeted at medical statistics students, researchers, public health practitioners, and clinicians, the book serves as both a teaching and reference tool. Its clear format features highlighted formulas and worked examples, ensuring concepts are presented simply and practically. The second edition emphasizes appropriate method selection with new chapters on analysis strategies and measures of association and impact. An accompanying website offers downloadable statistical datasets, sample chapters, and update