10 citations · 15 across the 15 of their papers we have counts for
15 papers
A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
Faruk Muritala, Austin Brown, Dhrubajyoti Ghosh +1
Monitoring binomial proportions across multiple independent streams is a critical challenge in Statistical Process Control (SPC), with applications from manufacturing to cybersecur…
Network-aware IV Regression for Causal Node Discovery and Estimation
Samhita Pal, Dhrubajyoti Ghosh
Estimating causal effects from high-dimensional, structured exposures is a fundamental challenge in modern applications ranging from neuroscience and finance to environmental scien…
Spatiotemporal Characterization of Overdose Mortality in Georgia, USA Using Spectral and Nonlinear Interaction Analysis, 2003-2021
Dhrubajyoti Ghosh
Drug overdose mortality in the United States exhibits strong geographic heterogeneity and complex temporal evolution, yet most spatiotemporal studies focus on trends and risks with…
A Rank-Based Information Fusion Framework for Comparing Clustered Multivariate Socioeconomic Outcomes
Dhrubajyoti Ghosh
We propose a multivariate, distribution-free ranking framework for comparing clustered, correlated outcomes across groups, motivated by the evaluation of state-level policy environ…
Derivations for the Cumulative Standardized Binomial EWMA (CSB-EWMA) Control Chart
Faruk Muritala, Austin Brown, Dhrubajyoti Ghosh +1
This paper presents the exact mathematical derivation of the mean and variance properties for the Exponentially Weighted Moving Average (EWMA) statistic applied to binomial proport…
Demographic Distribution Matching between real world and virtual phantom population
Dhrubajyoti Ghosh, Fakrul Islam Tushar, Lavsen Dahal +5
Virtual imaging trials (VITs) offer scalable and cost-effective tools for evaluating imaging systems and protocols. However, their translational impact depends on rigorous comparab…
Polyspectral Mean based Time Series Clustering of Indian Stock Market
Dhrubajyoti Ghosh
In this study, we employ k-means clustering algorithm of polyspectral means to analyze 49 stocks in the Indian stock market. We have used spectral and bispectral information obtain…
A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
Dhrubajyoti Ghosh, Zhuolin Song, Luo Xiao +1
Accurately specifying covariance structures is critical for valid inference in longitudinal and functional data analysis, particularly when data are sparsely observed. In this stud…
Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers
Dhrubajyoti Ghosh, Samhita Pal, Michael Lutz +1
Predicting the risk of clinical progression from cognitively normal (CN) status to mild cognitive impairment (MCI) or Alzheimer's disease (AD) is critical for early intervention in…
Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test
Dhrubajyoti Ghosh, Xiaoming Xu, Sheng Luo
Neurodegenerative diseases such as Alzheimer's and Parkinson's often exhibit complex, multivariate longitudinal outcomes that require advanced statistical methods to comprehensivel…
Polyspectral Mean Estimation of General Nonlinear Processes
Dhrubajyoti Ghosh, Tucker McElroy, Soumendra Lahiri
Higher-order spectra (or polyspectra), defined as the Fourier Transform of a stationary process' autocumulants, are useful in the analysis of nonlinear and non Gaussian processes.…
A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders
Xiaoming Xu, Dhrubajyoti Ghosh, Sheng Luo
Neurodegenerative disorders such as Alzheimer's disease (AD) present a significant global health challenge, characterized by cognitive decline, functional impairment, and other deb…
A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
Dhrubajyoti Ghosh, Sheng Luo
Randomized clinical trials (RCTs) often involve multiple longitudinal primary outcomes to comprehensively assess treatment efficacy. The Longitudinal Rank-Sum Test (LRST), a robust…
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
Lavsen Dahal, Mobina Ghojoghnejad, Dhrubajyoti Ghosh +10
Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and…
Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection
Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe +16
Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, inefficient, and ethically constrained. Virtual Imaging Trials (VITs) present a so…