32 citations · 46 across the 10 of their papers we have counts for
6 papers · 1 filter
SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcomes
Jing Xu, Dipankar Bandyopadhyay, Sedigheh Mirzaei +2
This paper proposes dynamic treatment regimes for choosing individualized effective treatment strategies of chronic periodontal disease. R codes for implementing the proposed sampl…
BAREB: A Bayesian repulsive biclustering model for periodontal data
Yuliang Li, Dipankar Bandyopadhyay, Fangzheng Xie +1
Preventing periodontal diseases (PD) and maintaining the structure and function of teeth are important goals for personal oral care. To understand the heterogeneity in patients wit…
Bayesian nonparametric multiway regression for clustered binomial data
Eric F. Lock, Dipankar Bandyopadhyay
We introduce a Bayesian nonparametric regression model for data with multiway (tensor) structure, motivated by an application to periodontal disease (PD) data. Our outcome is the n…
Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals
Qian Guan, Brian J. Reich, Eric B. Laber +1
Tooth loss from periodontal disease is a major public health burden in the United States. Standard clinical practice is to recommend a dental visit every six months; however, this…
Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation
Dipankar Bandyopadhyay, Debajyoti Sinha, Stuart Lipsitz +1
Existing state-wide data bases on prosecutors' decisions about juvenile offenders are important, yet often un-explored resources for understanding changes in patterns of judicial d…
A latent factor model for spatial data with informative missingness
Brian J. Reich, Dipankar Bandyopadhyay
A large amount of data is typically collected during a periodontal exam. Analyzing these data poses several challenges. Several types of measurements are taken at many locations th…