An Empirical Comparison of Several Clustered Data Approaches Under Confounding Due to Cluster Effects in the Analysis of Complications of Coronary Angioplasty
暂无分享,去创建一个
T R Ten Have | S. Kimmel | M. Sammel | J A Berlin | S E Kimmel | M D Sammel | T. Have | J. Berlin
[1] F. Loop,et al. Guidelines for percutaneous transluminal coronary angioplasty. A report of the American College of Cardiology/American Heart Association Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures (Subcommittee on Percutaneous Transluminal Coronary Angioplasty). , 1988, Circulation.
[2] J. Kalbfleisch,et al. Between- and within-cluster covariate effects in the analysis of clustered data. , 1998, Biometrics.
[3] R J Krone,et al. Risk of major complications from coronary angioplasty performed immediately after diagnostic coronary angiography: results from the Registry of the Society for Cardiac Angiography and Interventions. , 1997, Journal of the American College of Cardiology.
[4] N. Breslow,et al. Bias correction in generalised linear mixed models with a single component of dispersion , 1995 .
[5] Susan Weaver,et al. LETTER TO THE EDITOR: ASSOCIATION MODELS FOR PERIODONTAL DISEASE PROGRESSION: A COMPARISON OF METHODS FOR CLUSTERED BINARY DATA by T. R. Ten Have, J. R. Landis and S. Weaver, Statistics in Medicine14, 413–430 (1995) , 1996 .
[6] T. Ryan. Guidelines for percutaneous transluminal coronary angioplasty. A report of the American College of Cardiology/American Heart Association Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures (Subcommittee on Percutaneous Transluminal Coronary Angioplasty). , 1988, Journal of the American College of Cardiology.
[7] P. Albert,et al. Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.
[8] Effect of Confounding and Other Misspecification in Models for Longitudinal Data , 1997 .
[9] N. Breslow,et al. Approximate inference in generalized linear mixed models , 1993 .
[10] J R Landis,et al. Association models for periodontal disease progression: a comparison of methods for clustered binary data. , 1995, Statistics in medicine.
[11] K Y Liang,et al. Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.
[12] J. O’Keefe,et al. Safety and cost effectiveness of combined coronary angiography and angioplasty. , 1991, American heart journal.
[13] K. Bailey,et al. Safety and efficacy of percutaneous transluminal coronary angioplasty performed at time of diagnostic catheterization compared with that performed at other times. , 1989, The American journal of cardiology.
[14] M Palta,et al. Effect of omitted confounders on the analysis of correlated binary data. , 1997, Biometrics.
[15] N. Breslow,et al. Statistical methods in cancer research: volume 1- The analysis of case-control studies , 1980 .
[16] E. Vonesh,et al. Linear and Nonlinear Models for the Analysis of Repeated Measurements , 1996 .
[17] A Donner,et al. Adjustments to the Mantel-Haenszel chi-square statistic and odds ratio variance estimator when the data are clustered. , 1987, Statistics in medicine.
[18] N. Breslow,et al. Bias Correction in Generalized Linear Mixed Models with Multiple Components of Dispersion , 1996 .
[19] Thomas J. Ryan,et al. Guidelines for Percutaneous Transluminal Coronary Angioplasty A Report of the American Heart Association/American College of Cardiology Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures (Committee on Percutaneous Transluminal Coronary Angioplasty) , 1993, Circulation.
[20] R. Wolfinger,et al. Generalized linear mixed models a pseudo-likelihood approach , 1993 .
[21] M. Lesperance,et al. Estimation efficiency in a binary mixed-effects model setting , 1996 .
[22] N. Schork,et al. Analysis of Coronary Angioplasty Practice in the United States With an Insurance‐Claims Data Base , 1993, Circulation.
[23] R. Wolfinger. Covariance structure selection in general mixed models , 1993 .