32 citations · 38 across the 6 of their papers we have counts for
10 papers
Efficient Estimation of the Additive Risks Model for Interval-Censored Data
Tong Wang, Dipankar Bandyopadhyay, Samiran Sinha
In contrast to the popular Cox model which presents a multiplicative covariate effect specification on the time to event hazards, the semiparametric additive risks model (ARM) offe…
Alleviating Spatial Confounding in Spatial Frailty Models
Douglas Roberto Mesquita Azevedo, Marcos Oliveira Prates, Dipankar Bandyopadhyay
Spatial confounding is how is called the confounding between fixed and spatial random effects. It has been widely studied and it gained attention in the past years in the spatial s…
Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
Tong Wang, Kejun He, Wei Ma +2
Current status data abounds in the field of epidemiology and public health, where the only observable data for a subject is the random inspection time and the event status at inspe…
A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Zhou Lan, Brian J. Reich, Dipankar Bandyopadhyay
Diffusion tensor imaging (DTI) is a popular magnetic resonance imaging technique used to characterize microstructural changes in the brain. DTI studies quantify the diffusion of wa…
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…