32 citations · 46 across the 10 of their papers we have counts for
5 papers · 1 filter
Pseudo-value regression of clustered multistate current status data with informative cluster sizes
Samuel Anyaso-Samuel, Dipankar Bandyopadhyay, Somnath Datta
Multistate current status (CS) data presents a more severe form of censoring due to the single observation of study participants transitioning through a sequence of well-defined di…
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…