Principles of Applied Statistics

Informationen zum Autor D. R. Cox is one of the world's pre-eminent statisticians. Author or co-author of numerous books and papers, his work on the proportional hazards regression model is one of the most-cited and most influential papers in modern statistics. In 2010 he won the Copley Medal of the Royal Society 'for his seminal contributions to the theory and application of statistics'. Christl A. Donnelly is a Professor of Statistical Epidemiology in the MRC Centre for Outbreak Analysis and Modelling at Imperial College London and was deputy chair of the Independent Scientific Group on Cattle TB (1998 to 2007). She has worked on a range of other infectious diseases including BSE/vCJD, foot and mouth disease, SARS, influenza, malaria and neglected tropical diseases. Klappentext Cox and Donnelly lay out the concrete! usable principles that underpin the successful application of statistics. Zusammenfassung This compact package delivers decades of usable scientific experience. Cox and Donnelly lay out the strategic thinking that characterises the successful application of statistics! and how this statistical strategy shapes every stage of an investigation. Essential reading for anyone who makes extensive use of statistical methods in their work. Inhaltsverzeichnis Preface; 1. Some general concepts; 2. Design of studies; 3. Special types of study; 4. Principles of measurement; 5. Preliminary analysis; 6. Model formulation; 7. Model choice; 8. Techniques of formal inference; 9. Interpretation; 10. Epilogue; References; Index.

Product details

• Authors: D. R. Cox, D. R. Donnelly Cox, COX D R DONNELLY CHRISTL A, Christl A. Donnelly, Donnelly Christl A.
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 28.07.2011
• EAN: 9781107013599
• ISBN: 978-1-107-01359-9
• No. of pages: 214
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics