Skip to content
Register Sign in Wishlist

Principles of Applied Statistics

£34.99

  • Date Published: July 2011
  • availability: In stock
  • format: Paperback
  • isbn: 9781107644458

£ 34.99
Paperback

Add to cart Add to wishlist

Other available formats:
Hardback, eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    • One author is pre-eminent statistician, D. R. Cox, and both authors have extensive experience in applying statistics
    • Links statistical methods and theory to effective application, and discusses the real-world challenges that are rarely addressed in the literature
    • Assumes only a very limited knowledge of the detailed techniques
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: July 2011
    • format: Paperback
    • isbn: 9781107644458
    • length: 212 pages
    • dimensions: 228 x 152 x 11 mm
    • weight: 0.35kg
    • contains: 19 b/w illus.
    • availability: In stock
  • Table of Contents

    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.

  • Authors

    D. R. Cox, University of Oxford
    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, Imperial College London
    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.

related journals

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×