Commentary: Structural equation modelling in epidemiology: Som problems and prospects

International Journal of Epidemiology

Volumn 31, Issue 6, 2002, Pages 1199-1200

  Der, Geoff ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHRONIC DISEASE; CORRELATION ANALYSIS; DATA ANALYSIS; EDUCATION; EPIDEMIOLOGICAL DATA; HEALTH STATUS; HUMAN; INCOME; MATHEMATICAL MODEL; NOTE; OCCUPATION; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; SOCIAL PSYCHOLOGY; SOCIOECONOMICS;

EID: 0036996157     PISSN: 03005771     EISSN: None     Source Type: Journal    
DOI: 10.1093/ije/31.6.1199     Document Type: Note

References (6)

1. Ben-Shlomo Y, Kuh D. A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol 2002;31:285-93.
2. Singh-Manoux A, Clarke P, Marmot M. Multiple measures of socioeconomic position and psychosocial health: proximal and distal measures. Int J Epidemiol 2002;31:1192-99.
3. Schumacker RE, Marcoulides GA (eds). Interaction and Nonlinear Effects in Structural Equation Modeling. Fullerton: California State University, 1998.
4. Neale MC. Mx: Statistical Modeling. 2nd Edn. Box 710 MCV, Richmond, VA 23298: Department of Psychiatry 1994. http://www.vcu.edu/mx/ mxkey.html Acknowledgements (3 September 2002).
5. Muthén LK, Muthén BO. Mplus User's Guide. Los Angeles, CA: Muthén & Muthén, 1998-2001.
6. Muthén BO. Beyond SEM: general latent variable modelling. Behaviormetrika 2002;29:81-117.