A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED
暂无分享,去创建一个
[1] J. Fleiss,et al. The Reliability of Dichotomous Judgments: Unequal Numbers of Judges per Subject , 1979 .
[2] A Donner,et al. The estimation of intraclass correlation in the analysis of family data. , 1980, Biometrics.
[3] ScienceDirect. Computational statistics & data analysis , 1983 .
[4] Anthony S. Bryk,et al. Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .
[5] S. Raudenbush,et al. Gender and the relationship between job experiences and psychological distress: a study of dual-earner couples. , 1993, Journal of personality and social psychology.
[6] N. Breslow,et al. Approximate inference in generalized linear mixed models , 1993 .
[7] R. Wolfinger,et al. Generalized linear mixed models a pseudo-likelihood approach , 1993 .
[8] D. Bates,et al. Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model , 1995 .
[9] Stephen W. Raudenbush,et al. A multivariate hierarchical model for studying psychological change within married couples. , 1995 .
[10] I G Kreft,et al. The Effect of Different Forms of Centering in Hierarchical Linear Models. , 1995, Multivariate behavioral research.
[11] R. Littell. SAS System for Mixed Models , 1996 .
[12] D. A. Kenny,et al. Models of Non-Independence in Dyadic Research , 1996 .
[13] L. Dumenci,et al. Parental and Occupational Stress as Predictors of Depressive Symptoms among Dual-Income Couples: A Multilevel Modeling Approach , 1997 .
[14] Eric R. Ziegel,et al. SAS® System for Mixed Models@@@SAS registered System for Mixed Models , 1997 .
[15] J. Kalbfleisch,et al. Between- and within-cluster covariate effects in the analysis of clustered data. , 1998, Biometrics.
[16] D. A. Kenny,et al. Data analysis in social psychology. , 1998 .
[17] R. Mathar,et al. Classification, Data Analysis, and Data Highways , 1998 .
[18] Joop J. Hox,et al. Multilevel modeling: When and why , 1998 .
[19] D. Firth,et al. Estimating Intraclass Correlation for Binary Data , 1999, Biometrics.
[20] Russell D. Wolfinger,et al. Fitting Nonlinear Mixed Models with the New NLMIXED Procedure , 1999 .
[21] A R Localio,et al. Empirical Bayes Estimation of Random Effects Parameters in Mixed Effects Logistic Regression Models , 1999, Biometrics.
[22] Roel Bosker,et al. Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .
[23] D. A. Kenny,et al. Partner effects in relationship research: Conceptual issues, analytic difficulties, and illustrations , 1999 .
[24] Richard Gonzalez,et al. The correlational analysis of dyad‐level data in the distinguishable case , 1999 .
[25] Harrison Si,et al. Handbook of Research Methods in Social and Personality Psychology: Author Index , 2013 .
[26] J. Booth,et al. 2. Random-Effects Modeling of Categorical Response Data , 2000 .
[27] D. Kashy,et al. Conceptual and Methodological Issues in the Analysis of Data from Dyads and Groups , 2012 .
[28] G. Ramadori,et al. Hepatitis C virus infection: 10 years after the discovery of the virus , 2001, European journal of gastroenterology & hepatology.
[29] A Gelman,et al. A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes. , 2001, Biostatistics.
[30] Fitting non‐linear structural relationships using SAS procedure NLMIXED , 2002 .
[31] D. A. Kenny,et al. The statistical analysis of data from small groups. , 2002, Journal of personality and social psychology.
[32] D. A. Kenny,et al. The statistical analysis of data from small groups. , 2002, Journal of personality and social psychology.
[33] Allan Donner,et al. Interval Estimation for a Difference Between Intraclass Kappa Statistics , 2002, Biometrics.
[34] Oliver Kuss,et al. How to use SAS ® for Logistic Regression with Correlated Data , 2002 .
[35] J. Neuhaus,et al. Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification , 2002, Biometrics.
[36] Jason T. Newsom,et al. A Multilevel Structural Equation Model for Dyadic Data , 2002 .
[37] Lorne Campbell,et al. Estimating Actor, Partner, and Interaction Effects for Dyadic Data Using PROC MIXED and HLM: A User–Friendly Guide , 2002 .
[38] J. Hox,et al. Sample sizes for multilevel modeling , 2002 .
[39] Carl V Phillips,et al. Quantifying and Reporting Uncertainty from Systematic Errors , 2003, Epidemiology.
[40] Yunqian Ma,et al. Comparison of Model Selection for Regression , 2003, Neural Computation.
[41] Stephanie Tortu,et al. Recruitment of heterosexual couples in public health research: a study protocol , 2003, BMC medical research methodology.
[42] Pat McInturff,et al. Modelling risk when binary outcomes are subject to error , 2004, Statistics in medicine.
[43] W. Malarkey,et al. Spousal Support Satisfaction as a Modifier of Physiological Responses to Marital Conflict in Younger and Older Couples , 2004, Journal of Behavioral Medicine.
[44] Laurence S Freedman,et al. Correction: A simple method for analyzing data from a randomized trial with a missing binary outcome , 2004, BMC Medical Research Methodology.
[45] Cora J. M. Maas,et al. Robustness issues in multilevel regression analysis , 2004 .
[46] Allan Donner,et al. Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data , 2004, Biometrics.
[47] Sander Greenland,et al. Monte Carlo sensitivity analysis and Bayesian analysis of smoking as an unmeasured confounder in a study of silica and lung cancer. , 2004, American journal of epidemiology.
[48] Peter D. Hoff,et al. Bilinear Mixed-Effects Models for Dyadic Data , 2005 .