Susan Paddock’s statistical research interests and activities over the past several years have focused mostly on developing Bayesian methodology in the following areas
 
- Hierarchical modeling
    - Loss function-based ranking
    - Non-parametric modeling for addressing simultaneous inferential targets
 
- Missing data
    - Multiple imputation using a nonparametric Bayesian (e.g., Polya tree prior) approach
    - Non-ignorable non-response
    - Prior elicitation in pattern-mixture modeling / sensitivity analysis
 
- Nonparametric Bayes / Polya tree priors
    - Multivariate Polya tree priors
    - Partition dependence
    - Missing data modeling using Polya trees
 
 
Hierarchical modeling publications
 
Lin R, Louis TA, Paddock SM, Ridgeway G (2009) Ranking USRDS provider specific SMRs from 1998-2001. Health Services and Outcomes Research Methodology, 9, 22-38.
 
Paddock SM, Ridgeway G, Lin R, Louis, TA (2006) Flexible Distributions for Triple-Goal Estimates in Two-Stage Hierarchical Models. Computational Statistics and Data Analysis, 50(11), 3243-3262
 
Lin R, Louis TA, Paddock SM, Ridgeway G (2006) Loss Function Based Ranking in Two-Stage, Hierarchical Models. Bayesian Analysis, 1(4), 915-946  (paper is here)
 
 
Missing data publications
 
Paddock SM (2002) Bayesian Nonparametric Multiple Imputation of Partially Observed Data with Ignorable Nonresponse. Biometrika, 89(3), 529-538
 
Paddock SM (2007) Bayesian variable selection for longitudinal substance abuse treatment data subject to informative censoring (corr. 57(2), 251-252).  Journal of the Royal Statistical Society, Series C (Applied Statistics), 56, 293-311
  
Paddock SM, Edelen MO, Wenzel SL, Ebener P, Mandell W (2007)  Pattern-mixture models for addressing non-ignorable non-response in longitudinal substance abuse treatment studies.  WR-441-HLTH, RAND Corporation
 
Paddock SM, Ebener P (2009) Subjective prior distributions for modeling longitudinal continuous outcomes with non-ignorable dropout. Statistics in Medicine, 28, 659-678.
 
 
Bayesian nonparametrics publications
 
Paddock SM (2002) Bayesian Nonparametric Multiple Imputation of Partially Observed Data with Ignorable Nonresponse. Biometrika, 89(3), 529-538
 
Paddock SM, Ruggeri, F, Lavine M, West M (2003) Randomized Polya Tree Models for Nonparametric Bayesian Inference. Statistica Sinica, 13(2), 443-460
 
Paddock SM, Ridgeway G, Lin R, Louis, TA (2006) Flexible Distributions for Triple-Goal Estimates in Two-Stage Hierarchical Models. Computational Statistics and Data Analysis, 50(11), 3243-3262
 
 
 
Updated July 23, 2009
 
 
 
 Susan Paddock’s Statistical Research Activities