Principles of Applied Statistics

Cox and Donnelly lay out the concrete, usable principles that underpin the successful application of statistics.

D. R. Cox (Author), Christl A. Donnelly (Author)

9781107013599, Cambridge University Press

Hardback, published 28 July 2011

214 pages, 19 b/w illus.
22.9 x 15.2 x 1.3 cm, 0.46 kg

"Overall this book provides very clear coverage of the non-technical aspects of statistical practice: a superb outline of the meta-level issues of actually analyzing data and answering statistical questions. It would provide an ideal complement to the more traditional courses to which statistics students are exposed. And—I cannot resist—should anyone still require convincing, it demonstrates perfectly that statistics is not merely a branch of mathematics."
David J. Hand, Imperial College for International Statistical Review

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

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.

Subject Areas: Probability & statistics [PBT], Epidemiology & medical statistics [MBNS]