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Volumn 42, Issue 6, 1996, Pages 817-830

Health-related behaviour in context: A multilevel modelling approach

Author keywords

Context; Health related behaviour; Multilevel model; Smoking

Indexed keywords

BEHAVIOR; CONFERENCE PAPER; HEALTH STATUS; INFORMATION PROCESSING; MEDICAL RESEARCH; METHODOLOGY; MODEL; SMOKING; THEORY; UNITED KINGDOM;

EID: 0029669723     PISSN: 02779536     EISSN: None     Source Type: Journal    
DOI: 10.1016/0277-9536(95)00181-6     Document Type: Conference Paper
Times cited : (236)

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    • Details of the general data design and model specification procedure on which this example is based are given in Appendix 1. Further details can be found in Multilevel Models Project Inst. of Education, Univ. of London
    • Details of the general data design and model specification procedure on which this example is based are given in Appendix 1. Further details can be found in Multilevel Models Project. A Guide to ML3 Macros: Multilevel Multivariate Mixed Models with both Multinomial and Continuous Responses. Inst. of Education, Univ. of London, 1993. As these models are based on the general multivariate structure the reader is also encouraged to see Cresswell M. A multivariate bivariate model. In Data Analysis with ML3 (Edited by Prosser R. et al.), p. 76. Inst. of Education, Univ. of London, 1991; Duncan C. et al. Blood pressure, age and gender. In A Guide to ML3 for New Users (Edited by Woodhouse G.), p. 55. Inst. of Education, Univ. of London, 1994.
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    • Details of the general data design and model specification procedure on which this example is based are given in Appendix 1. Further details can be found in Multilevel Models Project. A Guide to ML3 Macros: Multilevel Multivariate Mixed Models with both Multinomial and Continuous Responses. Inst. of Education, Univ. of London, 1993. As these models are based on the general multivariate structure the reader is also encouraged to see Cresswell M. A multivariate bivariate model. In Data Analysis with ML3 (Edited by Prosser R. et al.), p. 76. Inst. of Education, Univ. of London, 1991; Duncan C. et al. Blood pressure, age and gender. In A Guide to ML3 for New Users (Edited by Woodhouse G.), p. 55. Inst. of Education, Univ. of London, 1994.
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    • Details of the general data design and model specification procedure on which this example is based are given in Appendix 1. Further details can be found in Multilevel Models Project. A Guide to ML3 Macros: Multilevel Multivariate Mixed Models with both Multinomial and Continuous Responses. Inst. of Education, Univ. of London, 1993. As these models are based on the general multivariate structure the reader is also encouraged to see Cresswell M. A multivariate bivariate model. In Data Analysis with ML3 (Edited by Prosser R. et al.), p. 76. Inst. of Education, Univ. of London, 1991; Duncan C. et al. Blood pressure, age and gender. In A Guide to ML3 for New Users (Edited by Woodhouse G.), p. 55. Inst. of Education, Univ. of London, 1994.
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    • Twenty-three individuals failed to respond to the smoking questions and were excluded. In total there were 5848 non-smokers, and 2942 regular smokers. The survey also recorded 190 individuals as 'occasional smokers' (fewer than one a day). Here, these people are coded as smokers with a quantity of 0.5 cigarettes per day
    • Twenty-three individuals failed to respond to the smoking questions and were excluded. In total there were 5848 non-smokers, and 2942 regular smokers. The survey also recorded 190 individuals as 'occasional smokers' (fewer than one a day). Here, these people are coded as smokers with a quantity of 0.5 cigarettes per day.
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    • It should be noted that some caution is required with this interpretation, however, as the non-significance of the intercept term for the continuous response will mean that the place-specific predictions for cigarette consumption will have large standard errors associated with them Ph.D. thesis (in preparation). Department of Geography, University of Portsmouth
    • It should be noted that some caution is required with this interpretation, however, as the non-significance of the intercept term for the continuous response will mean that the place-specific predictions for cigarette consumption will have large standard errors associated with them. See Duncan C. Modelling Contextuality in Health-related Behaviour. Ph.D. thesis (in preparation). Department of Geography, University of Portsmouth.
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