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publications.qmd
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publications.qmd
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---
title: "Publications"
---
The most complete list of my publications can be likely found on my [Google Scholar](https://scholar.google.com/citations?user=voqu53gAAAAJ&hl=en) 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"](https://evidence.nejm.org/doi/abs/10.1056/EVIDoa2300236). 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"](https://ascopubs.org/doi/full/10.1200/CCI.22.00174). 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"](https://www.mdpi.com/2072-6694/15/6/1853). 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"](https://ascpt.onlinelibrary.wiley.com/doi/full/10.1002/psp4.12998). Published in *CPT: Pharmacometrics & Systems Pharmacology*.
* **Arjun Sondhi** (2022). ["Estimating survival parameters under conditionally independent left truncation"](https://onlinelibrary.wiley.com/doi/full/10.1002/pst.2202). Published in *Pharmaceutical Statistics*. [[arxiv]](https://arxiv.org/abs/2107.10911)
* Jean Feng, **Arjun Sondhi**, Jessica Perry, and Noah Simon (2021). ["Selective prediction-set models with coverage guarantees"](https://onlinelibrary.wiley.com/doi/abs/10.1111/biom.13612). Published in *Biometrics*. [[arxiv]](https://arxiv.org/abs/1906.05473)
* **Arjun Sondhi**, Brian Segal, Jeremy Snider, Olivier Humblet, and Margaret McCusker (2021). ["Bayesian additional evidence for decision making under small sample uncertainty"](https://link.springer.com/article/10.1186/s12874-021-01432-5). Published in *BMC Medical Research Methodology*.
* David Arbour, Drew Dimmery, and **Arjun Sondhi** (2021). ["Permutation Weighting"](https://proceedings.mlr.press/v139/arbour21a.html). Published in *International Conference on Machine Learning (ICML 2021)*. [[arxiv]](https://arxiv.org/abs/1901.01230)
* **Arjun Sondhi**, David Arbour, and Drew Dimmery (2020). ["Balanced off-policy evaluation in general action spaces"](http://proceedings.mlr.press/v108/sondhi20a.html). Published in *International Conference on Artificial Intelligence and Statistics (AISTATS 2020)*. [[arxiv]](https://arxiv.org/abs/1906.03694)
* **Arjun Sondhi** and Ali Shojaie (2019). ["The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks"](https://jmlr.org/papers/v20/17-601.html). Published in *Journal of Machine Learning Research*. [[arxiv]](https://arxiv.org/abs/1806.06209)
* **Arjun Sondhi** and Kenneth M. Rice (2017). ["Fast permutation tests and related methods, for association between rare variants and binary outcomes"](https://onlinelibrary.wiley.com/doi/abs/10.1111/ahg.12229). Published in *Annals of Human Genetics*. [[arxiv]](https://arxiv.org/abs/1712.06643)
* **Arjun Sondhi** and Ali Shojaie (2016). ["Causal structure learning with reduced partial correlation thresholding"](https://ieeexplore.ieee.org/abstract/document/7796967). Published in *IEEE Conference on Data Science and Advanced Analytics (DSAA 2016)*.