A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes. - Bhramar Mukherjee; Ivy Liu (J. Multivar. Anal., 2009)

Changing data practices for community health workers: Introducing digital data collection in West Bengal, India. - Joyojeet Pal; Anjuli Dasika; Ahmad Hasan; Jackie Wolf; Nick Reid; Vaishnav Kameswaran; Purva Yardi; Allyson Mackay; Abram Wagner; Bhramar Mukherjee; Sucheta Joshi; Sujay Santra; et al. (ICTD, 2017)

Complete hazard ranking to analyze right-censored data: An ALS survival study. - Zhengnan Huang; Hongjiu Zhang; Jonathan Boss; Stephen A. Goutman; Bhramar Mukherjee; Ivo D. Dinov; Yuanfang Guan (PLoS Comput. Biol., 2017)

Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. - Ming Tang; Chao Gao; Stephen A. Goutman; Alexandr A. Kalinin; Bhramar Mukherjee; Yuanfang Guan; Ivo D. Dinov (Neuroinformatics, 2019)

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. - Maxwell Salvatore; Lauren J. Beesley; Lars G. Fritsche; David A. Hanauer; Xu Shi; Alison M. Mondul; Celeste Leigh Pearce; Bhramar Mukherjee (J. Biomed. Informatics, 2021)

Incorporating family disease history and controlling case-control imbalance for population-based genetic association studies. - Yongwen Zhuang; Brooke N. Wolford; Kisung Nam; Wenjian Bi; Wei Zhou; Cristen J. Willer; Bhramar Mukherjee; Seunggeun Lee (Bioinform., 2022)

A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns. - Spencer R. Haupert; Xu Shi; Chen Chen; Lars G. Fritsche; Bhramar Mukherjee (J. Biomed. Informatics, 2022)

Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods. - Jiacong Du; Jonathan Boss; Peisong Han; Lauren J. Beesley; Michael Kleinsasser; Stephen A. Goutman; Stuart A. Batterman; Eva L. Feldman; Bhramar Mukherjee (J. Comput. Graph. Stat., 2022)

A randomized trial of a mobile health intervention to augment cardiac rehabilitation. - Jessica R. Golbus; Kashvi Gupta; Rachel Stevens; V. Swetha Jeganathan; Evan Luff; Jieru Shi; Walter Dempsey; Thomas Boyden; Bhramar Mukherjee; Sarah Kohnstamm; Vlad Taralunga; Vik Kheterpal; et al. (npj Digit. Medicine, 2023)

Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking. - Xingran Chen; Zhenke Wu; Xu Shi; Hyunghoon Cho; Bhramar Mukherjee (CoRR, 2024)

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice. - Maxwell Salvatore; Ritoban Kundu; Xu Shi; Christopher R. Friese; Seunggeun Lee; Lars G. Fritsche; Alison M. Mondul; David A. Hanauer; Celeste Leigh Pearce; Bhramar Mukherjee (J. Am. Medical Informatics Assoc., 2024)

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction. - Yongwen Zhuang; Na Yeon Kim; Lars G. Fritsche; Bhramar Mukherjee; Seunggeun Lee (BMC Bioinform., 2024)

Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software. - Xingran Chen; Zhenke Wu; Xu Shi; Hyunghoon Cho; Bhramar Mukherjee (J. Am. Medical Informatics Assoc., 2025)

Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategies. - Maxwell Salvatore; Alison M. Mondul; Christopher R. Friese; David A. Hanauer; Hua Xu 001; Celeste Leigh Pearce; Bhramar Mukherjee (J. Biomed. Informatics, 2025)