This paper considers the use of multilevel models in health research. Attention focuses on the structure and potential of such models and particular consideration is given to their use in elucidating the importance of contextual effects in relation to individual level social and demographic factors in understanding health outcomes, health-related behaviour and health service performance. Four graphical typologies are used to outline the questions that multilevel models can address and the paper illustrates their potential by drawing on published examples in a number of different research areas. (C) 1998 Elsevier Science Ltd. All rights reserved.</p
To be relevant for public health, a context (e.g., neighborhood, school, hospital) should influence ...
Study objective: This didactical essay is directed to readers disposed to approach multilevel regres...
The need to use multilevel models when analysing hierarchical data—to take account of the correlatio...
Using contextual factors beyond individual factors, contextual analysis allows a more accurate ident...
Health promotion research is often conceptualized through the use of socioecological frameworks.This...
Health promotion research is often conceptualized through the use of socioecological frameworks. Thi...
This paper presents an introductory account of multilevel models, highlighting the potential benefit...
Populations commonly exhibit complex structure with many levels, so that patients (level 1) are ass...
STUDY OBJECTIVE: (1) To provide a didactic and conceptual (rather than mathematical) link between mu...
Study objective: (1) To provide a didactic and conceptual (rather than mathematical) link between mu...
This open access book is a practical introduction to multilevel modelling or multilevel analysis (ML...
Background: Multilevel modelling is a statistical technique that extends ordinary regression analysi...
Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested ...
BACKGROUND: Multilevel modelling is a statistical technique that extends ordinary regression analysi...
Study objective: This didactical essay is directed to readers disposed to approach multilevel regres...
To be relevant for public health, a context (e.g., neighborhood, school, hospital) should influence ...
Study objective: This didactical essay is directed to readers disposed to approach multilevel regres...
The need to use multilevel models when analysing hierarchical data—to take account of the correlatio...
Using contextual factors beyond individual factors, contextual analysis allows a more accurate ident...
Health promotion research is often conceptualized through the use of socioecological frameworks.This...
Health promotion research is often conceptualized through the use of socioecological frameworks. Thi...
This paper presents an introductory account of multilevel models, highlighting the potential benefit...
Populations commonly exhibit complex structure with many levels, so that patients (level 1) are ass...
STUDY OBJECTIVE: (1) To provide a didactic and conceptual (rather than mathematical) link between mu...
Study objective: (1) To provide a didactic and conceptual (rather than mathematical) link between mu...
This open access book is a practical introduction to multilevel modelling or multilevel analysis (ML...
Background: Multilevel modelling is a statistical technique that extends ordinary regression analysi...
Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested ...
BACKGROUND: Multilevel modelling is a statistical technique that extends ordinary regression analysi...
Study objective: This didactical essay is directed to readers disposed to approach multilevel regres...
To be relevant for public health, a context (e.g., neighborhood, school, hospital) should influence ...
Study objective: This didactical essay is directed to readers disposed to approach multilevel regres...
The need to use multilevel models when analysing hierarchical data—to take account of the correlatio...