10 citations · 15 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…