Effects of covariance misspecification in a latent variable model for multiple outcomes

Statistica Sinica

Volumn 12, Issue 4, 2002, Pages 1207-1222

  Sammel, Mary Dupuis ^a   Ryan, Louise M ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Factor analysis; Generalized estimating equations; Global tests

Indexed keywords

EID: 0036822202     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Bull, S. D. (1998). Regression models for multiple outcomes in large epidimiologic studies. Statist. Medicine 17, 2179-2197.
2. Freeman, E. W., Grisso, J. A., Berlin, J., Sammel, M. D., Garcia-Espana, B. and Hollander, L. (2001). Symptom reports from a cohort of African American and Caucasian women in the late reproductive years. Menopause, 8, 33-42.
3. Harville, D. A. (1977). Maximum likelihood approaches to variance component estimation and to related problems. J. Amer. Statist. Assoc. 72, 320-340.
4. Heyer, N. J., Bittner, A. C. and Echeverria, D. (1996). Analyzing multivariate neurobehavioral outcomes in occupational studies: a comparison of approaches. Neurotoxicology and Teratology 18, 401-406.
5. Holmes, L. B., Harvey, E. A., Kleiner, B. C., Leppig, K. A., Cann, C.I., Muñoz, A. and Polk, B. F. (1987). Predictive value of minor anomalies: II. Use in cohort studies to identify teratogens. Teratology 36, 291-297.
6. Holmes, L. B., Harvey, E. A., Brown, K. S. and Khoshbin, S. (1994). Anticonvulsant teratogenesis: 1. A study design for newborn infants. Teratology 49, 202-207.
7. Laird, N. M and Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 38, 963-974.
8. Laska, E. M., Tang, D. I., and Meisner, M. J. (1992). Testing hypotheses about an identified treatment when there are multiple endpoints. J. Amer. Statist. Assoc. 87, 825-831.
9. Lefkopoulou, M. and Ryan, L. M. (1993). Global tests for multiple binary outcomes. Biometrics 49, 975-988.
10. Legler, J. M., Lefkopoulou, M. and Ryan, L. M. (1995). Efficiency and power of tests for multiple binary outcomes. J. Amer. Statist. Assoc. 90, 680-693.
11. Liang, K. Y. and Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22.
12. Rogers, G. S. (1980). Matrix Derivatives. Marcel Dekker, New York.
13. Rotnitzky, A. and Jewell, N. P. (1990). Hypothesis testing of regression parameters in semi-parametric generalized linear models for cluster correlated data. Biometrika 77, 485-497.
14. Sammel, M. D. and Ryan, L. M. (1996). Latent variable models with fixed effects. Biometrics 52, 650-663.
15. Sammel, M. D. (1995). Latent variable models for multiple outcomes. Doctoral thesis, Department of Biostatistics, Harvard School of Public Health.
16. Serfling, R. J. (1980). Approximation Theorems for Mathematical Statistics. John Wiley, New York.
17. Streiner, D. L. and Norman, G. R. (1995) Health Measurement Scales: A Practical Guide to Their Development and Use, 2nd Edition. Oxford University Press, Oxford.
18. Zeger, S. L. and Liang, K. Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42, 121-130.