A glossary for multilevel analysis

Multilevel analysis has recently emerged as a useful analytical technique in several fields, including public health and epidemiology. This glossary defines key concepts and terms used in multilevel analysis.

[1]  Karl J. Friston,et al.  Variance Components , 2003 .

[2]  Helen Brown,et al.  Applied Mixed Models in Medicine , 2000, Technometrics.

[3]  T. Blakely,et al.  Ecological effects in multi-level studies , 2000, Journal of epidemiology and community health.

[4]  A. Diez-Roux Multilevel analysis in public health research. , 2000, Annual review of public health.

[5]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[6]  P. Burton,et al.  Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. , 1998, Statistics in medicine.

[7]  A. Diez-Roux,et al.  Bringing context back into epidemiology: variables and fallacies in multilevel analysis. , 1998, American journal of public health.

[8]  P. Spreeuwenberg,et al.  Patient satisfaction with the general practitioner: a two-level analysis. , 1998, Medical care.

[9]  I H Langford,et al.  Multi-level modelling of geographically aggregated health data: a case study on malignant melanoma mortality and UV exposure in the European Community. , 1998, Statistics in medicine.

[10]  B. Everitt,et al.  Analysis of longitudinal data , 1998, British Journal of Psychiatry.

[11]  Jan de Leeuw,et al.  Introducing Multilevel Modeling , 1998 .

[12]  G. Moon,et al.  Context, composition and heterogeneity: using multilevel models in health research. , 1998, Social science & medicine.

[13]  N. Laird,et al.  Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. , 1997, Statistics in medicine.

[14]  Andrew M. Jones,et al.  Multilevel models and health economics. , 1997, Health economics.

[15]  H. Morgenstern,et al.  Ecologic studies in epidemiology: concepts, principles, and methods. , 1995, Annual review of public health.

[16]  C Morris,et al.  Fitting Weibull duration models with random effects , 1995, Lifetime data analysis.

[17]  S Greenland,et al.  Hierarchical Regression Analysis Applied to a Study of Multiple Dietary Exposures and Breast Cancer , 1994, Epidemiology.

[18]  R M Elashoff,et al.  Analysis of longitudinal data: random coefficient regression modelling. , 1994, Statistics in medicine.

[19]  N T Longford,et al.  Empirical Bayes methods for estimating hospital-specific mortality rates. , 1994, Statistics in medicine.

[20]  M Susser,et al.  The logic in ecological: I. The logic of analysis. , 1994, American journal of public health.

[21]  Harvey Goldstein,et al.  Multilevel Cross-Classified Models , 1994 .

[22]  Thomas A. DiPrete,et al.  Multilevel Models: Methods and Substance , 1994 .

[23]  Seymour Sudman,et al.  Measurement errors in surveys , 1993 .

[24]  T. Koepsell,et al.  Multi-level analysis in epidemiologic research on health behaviors and outcomes. , 1992, American journal of epidemiology.

[25]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[26]  Joop J. Hox,et al.  The effect of interviewer and respondent characteristics on the quality of survey data: a multilevel model , 1991 .

[27]  D. Hedeker,et al.  Random regression models for multicenter clinical trials data. , 1991, Psychopharmacology bulletin.

[28]  P. Albert,et al.  Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.

[29]  S. Piantadosi,et al.  The ecological fallacy. , 1988, American journal of epidemiology.

[30]  David B. Grusky,et al.  The Multilevel Analysis of Trends with Repeated Cross-Sectional Data , 1988 .

[31]  D. Clayton,et al.  Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. , 1987, Biometrics.

[32]  G. Y. Wong,et al.  The Hierarchical Logistic Regression Model for Multilevel Analysis , 1985 .

[33]  H. Blalock,et al.  Contextual-Effects Models: Theoretical and Methodological Issues , 1984 .

[34]  Barbara Entwisle,et al.  Contextual analysis through the multilevel linear model. , 1983 .

[35]  J. Ware,et al.  Random-effects models for longitudinal data. , 1982, Biometrics.

[36]  D. Rubin,et al.  Estimation in Covariance Components Models , 1981 .

[37]  The impact of family planning programs on fertility. , 1977 .

[38]  H. Alker A typology of ecological fallacies , 1969 .

[39]  Amitai Etzioni,et al.  A Sociological Reader On Complex Organizations , 1969 .

[40]  mitida White Riley Sociological Research I A Case Approach , 1963 .

[41]  Kenneth E. Harper,et al.  Contextual analysis , 1957, Mech. Transl. Comput. Linguistics.