Multilevel Modelling of Health Statistics / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $70.73
Usually ships in 1-2 business days
(Save 63%)
Other sellers (Hardcover)
  • All (11) from $70.73   
  • New (8) from $70.73   
  • Used (3) from $247.26   


Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification. In health care research, for example, a study may be undertaken to determine the variability of patient outcomes where these also vary by hospital or health care region. Inference can then be made on the efficacy of health care practices. This book provides the reader with the analytical techniques required to study such data sets.
* First book to focus on multilevel modelling for health and medical research
* Covers the majority of analytical techniques required by health care professionals
* Unifies the literature on multilevel modelling for medical and health researchers
* Each contribution comes from a specialist in that area

Guiding the reader through various stages, from a basic introduction through to methodological extensions and generalised linear models, this test will show how various kinds of data can be analysed in a multilevel framework. Important statistical concepts, such as sampling and outliers, are covered specifically for multilevel data. Repeated measures, outliers, institutional performance, and spatial analysis, which have great relevance to health and medical research, are all examined for multilevel models.

The book is aimed at health care professionals and public health researchers interested in the application of statistics, and will also be of interest to postgraduate students studying medical statistics.

Wiley Series in Probability and Statistics

Read More Show Less

Editorial Reviews

From the Publisher
"…contains 13 well written chapters by experts…the references are recent and useful. It can be used as a textbook in graduate level modeling course." (Journal of Statistical Computation & Simulation, May 2004)

"...exhibits a marvellous degree of coherence and clarity..." (Pharmaceutical Statistics, Vol 2, 2003)

"...good introductions to multilevel models, and plenty of examples..." (Zentralblatt Math, 2003)

"...I believe that the book all in all fulfils this promise..." (Statistics in Medicine, No.21, 2002)

"...a very readable book whose audience does not seem to be limited to statisticians." (Technometrics, Vol. 44, No. 4, November 2002)

"Highly recommended to biostatisticians, health care professionals and public health researchers in the application of multilevel model. It can also be used as a reference book for postgraduate students studying medical statistics." (ISCB News, December 2001)

Read More Show Less

Product Details

Meet the Author

A. H. Leyland Public Health Research Unit, University of Glasgow, UK

H. Goldstein Institute of Education, University of London, UK

Read More Show Less

Table of Contents




Multilevel Data and Their Analysis (M. Healy).

Modelling Repeated Measurements (H. Glodstein and G. Woodhouse).

Binomial Regression (N. Rice).

Poisson Regression (I. Langford and R. Day).

Multivariate Multilevel Models (A. McLeod).

Outliers, Robustness and the Detection of Discrepant Data (T. Lewis and I. Langford).

Modelling Non-Hierarchical Structures (J. Rasbash and W. Browne).

Multinomial Regression (M. Yang).

Institutional Performance (E. Marshall and D. Spiegelhalter).

Spatial Analysis (A. Leyland).

Sampling (T. Snijders).

Further Topics in Multilevel Modelling (H. Goldstein and A. Leyland).

Software for Multilevel Analysis (J. de Leeuw and I. Kreft).



Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)