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BMC Cancer
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May 18, 2018
Patterns of care for anal cancer in the United States - a comparison between academic and community cancer centers
Victor E Pricolo, Matteo Bonvini, Carlo F Abelli
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
November 13, 2025
Covariate-assisted bounds on causal effects with instrumental variables
Alexander W Levis, Matteo Bonvini, Zhenghao Zeng, et al.
American Journal of Clinical Oncology
|
February 8, 2017
Challenges in Management of Squamous Cell Carcinoma of the Anus in New England and Across the United States: A Review of the National Cancer Data Base
Victor E Pricolo, Kyle L Viani, Matteo Bonvini, et al.
Biometrics
|
October 14, 2024
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
Razieh Nabi, Matteo Bonvini, Edward H Kennedy, et al.
NPJ Digital Medicine
|
December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
Antonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
BMC Cancer
|
May 18, 2018
Patterns of care for anal cancer in the United States - a comparison between academic and community cancer centers
Victor E Pricolo, Matteo Bonvini, Carlo F Abelli
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
November 13, 2025
Covariate-assisted bounds on causal effects with instrumental variables
Alexander W Levis, Matteo Bonvini, Zhenghao Zeng, et al.
American Journal of Clinical Oncology
|
February 8, 2017
Challenges in Management of Squamous Cell Carcinoma of the Anus in New England and Across the United States: A Review of the National Cancer Data Base
Victor E Pricolo, Kyle L Viani, Matteo Bonvini, et al.
Biometrics
|
October 14, 2024
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
Razieh Nabi, Matteo Bonvini, Edward H Kennedy, et al.
NPJ Digital Medicine
|
December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
Antonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Page
of 1