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Maxwell Salvatore

Showing results (11-20 of 40) with videos related to

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Scientific Reports|May 8, 2021
Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimatesRupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Design and Analysis Heterogeneity in Observational Studies of COVID-19 Booster Effectiveness: A Review and Case StudySabir Meah, Xu Shi, Lars G Fritsche, et al.
Science Advances|December 20, 2023
Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case studySabir Meah, Xu Shi, Lars G Fritsche, et al.
Journal of the American Medical Informatics Association : JAMIA|June 15, 2026
Privacy-enhancing sequential learning under heterogeneous selection bias in multi-site electronic health records dataRitoban Kundu, Maxwell Salvatore, Kumar Kshitij Patel, et al.
Journal of Biomedical Informatics|May 21, 2025
Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategiesMaxwell Salvatore, Alison M Mondul, Christopher R Friese, et al.
Medrxiv : the Preprint Server for Health Sciences|October 3, 2025
Privacy-Enhancing Sequential Learning under Heterogeneous Selection Bias in Multi-Site EHR DataRitoban Kundu, Xu Shi, Kumar Kshitij Patel, et al.
BMC Infectious Diseases|June 8, 2021
A comparison of five epidemiological models for transmission of SARS-CoV-2 in IndiaSoumik Purkayastha, Rupam Bhattacharyya, Ritwik Bhaduri, et al.
Plos Genetics|December 19, 2023
Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanksLars G Fritsche, Kisung Nam, Jiacong Du, et al.
Journal of Clinical Medicine|December 9, 2023
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner AlgorithmWeijia Jin, Wei Hao, Xu Shi, et al.
Journal of Biomedical Informatics|December 6, 2020
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanksMaxwell Salvatore, Lauren J Beesley, Lars G Fritsche, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
Scientific Reports|May 8, 2021
Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimatesRupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Design and Analysis Heterogeneity in Observational Studies of COVID-19 Booster Effectiveness: A Review and Case StudySabir Meah, Xu Shi, Lars G Fritsche, et al.
Science Advances|December 20, 2023
Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case studySabir Meah, Xu Shi, Lars G Fritsche, et al.
Journal of the American Medical Informatics Association : JAMIA|June 15, 2026
Privacy-enhancing sequential learning under heterogeneous selection bias in multi-site electronic health records dataRitoban Kundu, Maxwell Salvatore, Kumar Kshitij Patel, et al.
Journal of Biomedical Informatics|May 21, 2025
Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategiesMaxwell Salvatore, Alison M Mondul, Christopher R Friese, et al.
Medrxiv : the Preprint Server for Health Sciences|October 3, 2025
Privacy-Enhancing Sequential Learning under Heterogeneous Selection Bias in Multi-Site EHR DataRitoban Kundu, Xu Shi, Kumar Kshitij Patel, et al.
BMC Infectious Diseases|June 8, 2021
A comparison of five epidemiological models for transmission of SARS-CoV-2 in IndiaSoumik Purkayastha, Rupam Bhattacharyya, Ritwik Bhaduri, et al.
Plos Genetics|December 19, 2023
Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanksLars G Fritsche, Kisung Nam, Jiacong Du, et al.
Journal of Clinical Medicine|December 9, 2023
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner AlgorithmWeijia Jin, Wei Hao, Xu Shi, et al.
Journal of Biomedical Informatics|December 6, 2020
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanksMaxwell Salvatore, Lauren J Beesley, Lars G Fritsche, et al.
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