Bhramar Mukherjee
Orcid: 0000-0003-0118-4561
According to our database1,
Bhramar Mukherjee
authored at least 14 papers
between 2009 and 2025.
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Bibliography
2025
Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategies.
J. Biomed. Informatics, 2025
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software.
J. Am. Medical Informatics Assoc., 2025
2024
Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction.
BMC Bioinform., December, 2024
To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice.
J. Am. Medical Informatics Assoc., 2024
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking.
CoRR, 2024
2023
A randomized trial of a mobile health intervention to augment cardiac rehabilitation.
npj Digit. Medicine, 2023
2022
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods.
J. Comput. Graph. Stat., October, 2022
A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns.
J. Biomed. Informatics, 2022
Incorporating family disease history and controlling case-control imbalance for population-based genetic association studies.
Bioinform., 2022
2021
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks.
J. Biomed. Informatics, 2021
2019
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.
Neuroinformatics, 2019
2017
PLoS Comput. Biol., 2017
Changing data practices for community health workers: Introducing digital data collection in West Bengal, India.
Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017
2009
A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes.
J. Multivar. Anal., 2009