On Modeling Longitudinal Pulmonary Function Data

American Journal of Respiratory and Critical Care Medicine

Volumn 154, Issue 6, 1996, Pages

  Sherrill, Duane ^a   Viegi, Giovanni ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER SIMULATION; DATA ANALYSIS; FORCED EXPIRATORY VOLUME; HUMAN; LUNG FUNCTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; REVIEW; STATISTICAL ANALYSIS;

COMPUTER SIMULATION; FORCED EXPIRATORY VOLUME; HUMANS; LONGITUDINAL STUDIES; MODELS, BIOLOGICAL; RANDOM ALLOCATION; REGRESSION ANALYSIS; RESPIRATORY FUNCTION TESTS;

EID: 0030448978     PISSN: 1073449X     EISSN: None     Source Type: Journal    
DOI: 10.1164/ajrccm/154.6_pt_2.s217     Document Type: Article

References (17)

1. Goldstein, H. 1979. The Design and Analysis of Longitudinal Studies. Academic Press, New York.
2. Potthoff, R. F., and S. N. Roy. 1964. A generalized multivariate analysis of variance model useful especially for growth curve problems. Biometrika 51:313-326.
3. Laird, N. M., and J. H. Ware. 1982. Random effects models for longitudinal data. Biometrics 38:963-974.
4. Harville, D. A. 1975. Maximum likelihood approaches to variance component estimation and to related problems. J. Am. Stat. Assoc. 72: 320-340.
5. Jones, R. H. 1993. Longitudinal Data with Serial Correlation: A State-Space Approach. Chapman and Hall, London.
6. Liang, K. Y. and S. L. Zeger. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73:13-22.
7. Jones, R. H., and F. Boadi-Boateng. 1991. Unequally spaced longitudinal data with AR(1) serial correlation. Biometrics 47:161-175.
8. McCullagh, P., and J. A. Nelder. 1983. Generalized Linear Models. Chapman and Hall, London.
9. Park, T. 1993. A comparison of the generalized estimating equation approach with the maximum likelihood approach for repeated measurements. Stat. Med. 12:1723-1732.
10. Rutter, C. M., and R. M. Elashoff. 1994. Analysis of longitudinal data: random coefficient regression modeling. Stat. Med. 13:1211-1231.
11. Sherrill, D. L., M. D. Lebowitz, R. J. Knudson, and B. Burrows. 1992. Continuous longitudinal regression equations for pulmonary function measures. Eur. Respir. J. 5:452-462.
12. Weiss, R. E., and C. G. Lazaro. 1992. Residual plots for repeated measures. Stat. Med. 11:115-124.
13. Muñoz, A., V. Carey, J. P. Schouten, M. Segal, and B. Rosner. 1992. A parametric family of correlation structures for the analysis of longitudinal data. Biometrics 48:733-742.
14. Lebowitz, M. D., R. J. Knudson, and B. Burrows. 1975. The Tucson epidemiological study of obstructive lung disease, I: methodology and prevalence of disease. Am. J. Epidemiol. 102:137-152.
15. Ware, J. H. 1993. Analysis of longitudinal data: choosing and interpreting regression models. Eur. Respir. J. 6:325-327.
16. Viegi, G., and P. Paoletti. 1993. How to assess long-term effects of occupational exposure. Eur. Respir. J. 6:1088-1089.
17. 1 and airflow limitation related to occupational exposures in men of an urban community. Eur. Respir. J. 6:1095-1103.