Introduction to Medical Statistics, Paperback/Martin Bland

Descriere YEO:

Introduction to Medical Statistics, Paperback/Martin - Disponibil la elefant.ro

Pe YEO găsești Introduction to Medical Statistics, Paperback/Martin de la Oxford University Press, în categoria Foreign Books.

Indiferent de nevoile tale, Introduction to Medical Statistics, Paperback/Martin Bland din categoria Foreign Books îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 313.99 Lei

Caracteristicile produsului Introduction to Medical Statistics, Paperback/Martin

• Brand: Oxford University Press
• Categoria: Foreign Books
• Magazin: elefant.ro
• Ultima actualizare: 20-10-2025 01:48:07

Comandă Introduction to Medical Statistics, Paperback/Martin Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Introduction to Medical Statistics, Paperback/Martin de la elefant.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
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.