Multilevel Modelling of Health StatisticsISBN: 978-0-471-99890-7
Hardcover
248 pages
February 2001
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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.