Pallavi Basu

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Wenguang SunProfessor of Data Sciences and Operations, University of Southern CaliforniaVerified email at marshall.usc.edu
Kiranmoy DasProfessor, Beijing Institute of Mathematical Sciences and Applications.Verified email at bimsa.cn
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaVerified email at wharton.upenn.edu
Deep DuttaMD (Medicine), DM (Endo), DNB (Endo), SCE (Endo & Diab) (UK), FRCP (Edin, UK), FACE (USA)Verified email at venkateshwarhospitals.com
Alessio SarettoFederal Reserve Bank of DallasVerified email at dal.frb.org
Dylan SmallProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Jinchi LvKenneth King Stonier Chair in Business AdministrationVerified email at marshall.usc.edu
Yang FengProfessor of Biostatistics, School of Global Public Health, New York UniversityVerified email at nyu.edu
Wendy MackProfessor of Population and Public Health Sciences and Gerontology, University of SouthernVerified email at usc.edu
Daniel YekutieliAssociate Professor Tel Aviv UniversityVerified email at tauex.tau.ac.il
Supriya TiwariIndian School of Business HyderabadVerified email at isb.edu

Pallavi Basu

Assistant Professor

Verified email at isb.edu

Applications of Statistics High–Dimensional Inference Large–Scale Multiple Testing Causal Inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Weighted false discovery rate control in large-scale multiple testing P Basu, TT Cai, K Das, W Sun Journal of the American Statistical Association 113 (523), 1172-1183, 2018	56	2018
Quality of life assessment of patients with chronic liver disease in eastern India using a Bengali translation chronic liver disease questionnaire I Ray, D Dutta, P Basu, BK De Indian Journal of Gastroenterology 29, 187-195, 2010	35	2010
Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias P Basu, D Small Observational Studies 6, 103-130, 2020	13	2020
Empirical bayes control of the false discovery exceedance P Basu, L Fu, A Saretto, W Sun Journal of Business & Economic Statistics (Accepted), 2021	8	2021
Large-scale model selection in misspecified generalized linear models E Demirkaya, Y Feng, P Basu, J Lv Biometrika 109 (1), 123-136, 2022	5	2022
Optimal design for high‐throughput screening via false discovery rate control T Feng, P Basu, W Sun, HT Ku, WJ Mack Statistics in Medicine 38 (15), 2816-2827, 2019	2	2019
Model selection principles and false discovery rate control P Basu University of Southern California, 2016	2	2016
An Empirical Bayes Approach to Controlling the False Discovery Exceedance P Basu, L Fu, A Saretto, W Sun Journal of Business & Economic Statistics, 1-23, 2023	1	2023
Quasi-randomization tests for network interference S Tiwari, P Basu arXiv preprint arXiv:2403.16673, 2024		2024
Exact confidence intervals for the mixing distribution from binomial mixture distribution samples P Basu, B Brill, D Yekutieli arXiv preprint arXiv:2311.14424, 2023		2023
Pallavi Basuʼs Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes P Basu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022		2022
Large-Scale Model Selection with Misspecification E Demirkaya, Y Feng, P Basu, J Lv arXiv preprint arXiv:1803.07418, 2018		2018
Model Selection in High-Dimensional Misspecified Models P Basu, Y Feng, J Lv arXiv preprint arXiv:1412.7468, 2014		2014

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