Structured correlation in models for clustered data

Statistics in Medicine

Volumn 25, Issue 14, 2006, Pages 2450-2468

  Chao, Edward C ^a  

^a Insightful Corporation   (United States)

Author keywords

Crossed designs; GEE methods; Heterogenous correlation; Multi level data; Multilayer correlation; Nested designs

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ADULT; AGED; ARTICLE; CANCER SCREENING; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION FUNCTION; COVARIANCE; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; FACTORIAL DESIGN; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; MULTIVARIATE ANALYSIS; PROSTATE CANCER; PROTEIN BLOOD LEVEL; SIMULATION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; STUDENT T TEST; TREATMENT OUTCOME; UNITED STATES;

ADULT; AGED; AGED, 80 AND OVER; CLUSTER ANALYSIS; COMPUTER SIMULATION; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; UNITED STATES;

EID: 33745966632     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2368     Document Type: Article

References (18)

1. Jennrich RI, Schluchter MD. Unbalanced repeated-measures models with structured covariance matrices. Biometrics 1986; 42:805-820.
2. Goldstein H. Multilevel Statistical Models. Edward Arnold: London, 1995.
3. Heagerty PJ, Zeger SL. Marginalized multilevel models and likelihood inference. Statistical Science 2000; 15:1-26.
4. Qaqish BF, Liang KY. Marginal models for correlated binary responses with multiple classes and multiple levels of nesting. Biometrics 1992; 48:939-950.
5. Raudenbush SW, Bryk AS. Hierarchical Linear Models. Sage Publications: Thousand Oaks, 2002.
6. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics 1988; 44:1049-1060.
7. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73:13-22.
8. Prentice RL. Correlated binary regression with covariates specific to each binary observation. Biometrics 1988; 44:1033-1048.
9. Zhao L, Prentice RL. Correlated binary regression using a quadratic exponential model. Biometrika 1990; 77:642-648.
10. Liang KY, Zeger SL, Qaqish B. Multivariate regression analyses for categorical data. Journal of the Royal Statistical Society, Series B 1992; 54:3-40.
11. Dale JR. Global cross-ratio models for bivariate, discrete, ordered responses. Biometrics 1986; 42:909-917.
12. Carey VC, Zeger SL, Diggle PJ. Modelling multivariate binary data with alternating logistic regressions. Biometrika 1993; 80:517-526.
13. Hilton S, Katz J, Zeger SL. Classifying visual field data. Statistics in Medicine 1996; 15:1349-1364.
14. SEER. SEER Program Public-Use CD. National Cancer Institute, DCCPS, Cancer Surveillance Research Program, Cancer Statistics Branch, 2000.
15. Fitzmaurice GM. A caveat concerning independence estimating equations with multivariate binary data. Biometrics 1995; 51:309-317.
16. Kauermann G, Carroll RJ. A note of the efficiency of sandwich covariance matrix estimation. Journal of the American Statistical Association 2001; 96:1387-1396.
17. Mancl LA, Leroux BG. Efficiency of regression estimates for clustered data. Biometrics 1996; 52:500-511.
18. Pan W. On the robust variance estimator in generalized estimating equations. Biometrics 2001; 88:901-906.