Using data augmentation via the Gibbs Sampler to incorporate missing covariate structure in linear models for ecological assessments
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Keying Ye | Eric P. Smith | Edward L. Boone | E. Smith | E. Boone | K. Ye
[1] A. Brix. Bayesian Data Analysis, 2nd edn , 2005 .
[2] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[3] T. Hesterberg,et al. Analyzing data with missing values in S-PLUS , 2001 .
[4] R J Carroll,et al. Conditional and Unconditional Categorical Regression Models with Missing Covariates , 2000, Biometrics.
[5] Yang C. Yuan,et al. Multiple Imputation for Missing Data: Concepts and New Development , 2000 .
[6] J G Ibrahim,et al. Monte Carlo EM for Missing Covariates in Parametric Regression Models , 1999, Biometrics.
[7] M. Paik,et al. Multiple imputation methods for the missing covariates in generalized estimating equation. , 1997, Biometrics.
[8] Joseph L Schafer,et al. Analysis of Incomplete Multivariate Data , 1997 .
[9] Joseph G. Ibrahim,et al. A conditional model for incomplete covariates in parametric regression models , 1996 .
[10] Peter Green,et al. Markov chain Monte Carlo in Practice , 1996 .
[11] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[12] Bradley Efron,et al. Missing Data, Imputation, and the Bootstrap , 1994 .
[13] D. Rubin,et al. Large-sample significance levels from multiply imputed data using moment-based statistics and an F reference distribution , 1991 .
[14] Andrew L. Rukhin,et al. Tools for statistical inference , 1991 .
[15] J. Ibrahim. Incomplete Data in Generalized Linear Models , 1990 .
[16] Khidir M. Abdelbasit,et al. Experimental Design for Binary Data , 1983 .
[17] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[18] D. Rubin. INFERENCE AND MISSING DATA , 1975 .