The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. A Sondhi, A Shojaie Journal of Machine Learning Research 20, 164:1-164:31, 2019 | 25 | 2019 |
Permutation weighting D Arbour, D Dimmery, A Sondhi International Conference on Machine Learning, 331-341, 2021 | 22 | 2021 |
Balanced off-policy evaluation in general action spaces A Sondhi, D Arbour, D Dimmery International Conference on Artificial Intelligence and Statistics, 2413-2423, 2020 | 18 | 2020 |
Selective prediction‐set models with coverage rate guarantees J Feng, A Sondhi, J Perry, N Simon Biometrics 79 (2), 811-825, 2023 | 17 | 2023 |
Fast permutation tests and related methods, for association between rare variants and binary outcomes A Sondhi, KM Rice Annals of human genetics 82 (2), 93-101, 2018 | 11 | 2018 |
Replication of real-world evidence in oncology using electronic health record data extracted by machine learning CM Benedum, A Sondhi, E Fidyk, AB Cohen, S Nemeth, B Adamson, ... Cancers 15 (6), 1853, 2023 | 6 | 2023 |
Estimating survival parameters under conditionally independent left truncation A Sondhi Pharmaceutical Statistics 21 (5), 895-906, 2022 | 5 | 2022 |
Analysis of real-world (RW) data for metastatic breast cancer (mBC) patients (pts) with somatic BRCA1/2 (sBRCA) or other homologous recombination (HR … F Batalini, R Madison, DC Pavlick, E Sokol, T Snow, A Sondhi, ... Journal of Clinical Oncology 39 (15_suppl), 10512-10512, 2021 | 4 | 2021 |
A systematic approach towards missing lab data in electronic health records: A case study in non‐small cell lung cancer and multiple myeloma A Sondhi, J Weberpals, P Yerram, C Jiang, M Taylor, M Samant, ... CPT: Pharmacometrics & Systems Pharmacology 12 (9), 1201-1212, 2023 | 3 | 2023 |
Broadening Eligibility Criteria and Diversity among Patients for Cancer Clinical Trials M Kaur, F Frahm, Y Lu, MS Ascha, JS Guadamuz, E Dotan, AS Gottesman, ... NEJM evidence 3 (4), EVIDoa2300236, 2024 | 2 | 2024 |
Bayesian additional evidence for decision making under small sample uncertainty A Sondhi, B Segal, J Snider, O Humblet, M McCusker BMC Medical Research Methodology 21, 1-8, 2021 | 2 | 2021 |
Quantifying bias from dependent left truncation in survival analyses of real world data A Sondhi, O Humblet, A Swaminathan medRxiv, 2021.08. 02.21261492, 2021 | 2 | 2021 |
Statistical miscellany: causality, networks, and bandits A Sondhi | 2 | 2019 |
Postprediction inference for clinical characteristics extracted with machine learning on electronic health records A Sondhi, AS Rich, S Wang, JT Leek JCO Clinical Cancer Informatics 7, e2200174, 2023 | 1 | 2023 |
RWD112 can ML-extracted variables reproduce real world comparative effectiveness results from expert-abstracted data? A case study in metastatic non-small cell lung cancer … A Sondhi, C Benedum, AB Cohen, S Nemeth, S Bozkurt Value in Health 25 (12), S470, 2022 | 1 | 2022 |
P57 machine learning-accelerated outcomes research: A real-world case study of biomarker-associated overall survival in oncology C Benedum, B Adamson, AB Cohen, M Estevez, A Sondhi, E Fidyk, ... Value in Health 25 (12), S13-S14, 2022 | 1 | 2022 |
Ai1 quantifying bias in ML-extracted variables for inference in clinical oncology J Lee, M Estevez, BD Segal, A Sondhi, AB Cohen, ST Cherng Value in Health 24, S1, 2021 | 1 | 2021 |
PCN198 Statistical methods for pantumor analysis: models to account for tumor-level heterogeneity A Swaminathan, J Snider, A Sondhi, M Samant, O Humblet Value in Health 24, S56, 2021 | 1 | 2021 |
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates A Sondhi, S Cheng, A Shojaie arXiv preprint arXiv:2401.15793, 2024 | | 2024 |
Quality metrics at scale: Deriving time to first cancer treatment from electronic health records. A Sondhi, H Silver, A Jacob, LG Bramwell, J Levine, E Dominic, G Geno, ... JCO Oncology Practice 19 (11_suppl), 580-580, 2023 | | 2023 |