5 papers
Hierarchical Projection for Adaptive Knowledge Transfer
Samhita Pal, Tian Gu
Modern data-driven applications increasingly involve learning from multiple heterogeneous sources, where a target dataset is limited but related information is available across dom…
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…
Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
Dhrubajyoti Ghosh, Samhita Pal
Efficacy testing is a cornerstone of clinical trials, ensuring that medical interventions achieve their intended therapeutic effects. Over the decades, a wide range of statistical…
Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson's Disease
Samhita Pal, Dhrubajyoti Ghosh, Shu Yang
Parkinson's disease (PD) is a progressive neurodegenerative disorder that lacks reliable early-stage biomarkers for diagnosis, prognosis, and therapeutic monitoring. While cerebros…
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…