Publications

The most complete list of my publications can be likely found on my Google Scholar profile.

• Maneet Kaur, Filip Frahm, Yichen Lu, Mustafa S Ascha, Jenny S Guadamuz, Efrat Dotan, Adam S Gottesman, Barry C Leybovich, Arjun Sondhi, Yihua Zhao, Neal J Meropol, and Trevor J Royce (2024). “Broadening Eligibility Criteria and Diversity among Patients for Cancer Clinical Trials”. Published in NEJM Evidence.

• Arjun Sondhi, Alexander S Rich, Siruo Wang, and Jeffrey T Leek (2023). “Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health Records”. Published in JCO: Clinical Cancer Informatics.

• Corey M Benedum, Arjun Sondhi, Erin Fidyk, Aaron B Cohen, Sheila Nemeth, Blythe Adamson, Melissa Estévez, and Selen Bozkurt (2023). “Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning”. Published in Cancers.

• Arjun Sondhi, Janick Weberpals, Chengsheng Jiang, Prakirthi Yerram, Michael Taylor, Meghna Samant, and Sarah T Cherng (2023). “A systematic approach towards missing lab data in electronic health records: a case study in non-small cell lung cancer and multiple myeloma”. Published in CPT: Pharmacometrics & Systems Pharmacology.

• Arjun Sondhi (2022). “Estimating survival parameters under conditionally independent left truncation”. Published in Pharmaceutical Statistics. [arxiv]

• Jean Feng, Arjun Sondhi, Jessica Perry, and Noah Simon (2021). “Selective prediction-set models with coverage guarantees”. Published in Biometrics. [arxiv]

• Arjun Sondhi, Brian Segal, Jeremy Snider, Olivier Humblet, and Margaret McCusker (2021). “Bayesian additional evidence for decision making under small sample uncertainty”. Published in BMC Medical Research Methodology.

• David Arbour, Drew Dimmery, and Arjun Sondhi (2021). “Permutation Weighting”. Published in International Conference on Machine Learning (ICML 2021). [arxiv]

• Arjun Sondhi, David Arbour, and Drew Dimmery (2020). “Balanced off-policy evaluation in general action spaces”. Published in International Conference on Artificial Intelligence and Statistics (AISTATS 2020). [arxiv]

• Arjun Sondhi and Ali Shojaie (2019). “The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks”. Published in Journal of Machine Learning Research. [arxiv]

• Arjun Sondhi and Kenneth M. Rice (2017). “Fast permutation tests and related methods, for association between rare variants and binary outcomes”. Published in Annals of Human Genetics. [arxiv]

• Arjun Sondhi and Ali Shojaie (2016). “Causal structure learning with reduced partial correlation thresholding”. Published in IEEE Conference on Data Science and Advanced Analytics (DSAA 2016).