Multilevel Modelling of Health StatisticsISBN: 978-0-471-99890-7
Hardcover
248 pages
March 2001
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
|
Preface.
Contributors.
Introduction.
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).
References.
Index.
Contributors.
Introduction.
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).
References.
Index.