Connection
Antal Zemplenyi to Humans
This is a "connection" page, showing publications Antal Zemplenyi has written about Humans.
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Connection Strength |
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0.153 |
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DiStefano MJ, McQueen RB, Zheng H, Gyamfi HG, Ameyaw D, Campbell JD, Zemplenyi A. Opportunities for CMS to Further Specify and Broaden Its Approach to Assessing Unmet Medical Need in the Context of the Medicare Drug Price Negotiation Program. Appl Health Econ Health Policy. 2026 03; 24(2):261-269.
Score: 0.023
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Zemplenyi AT, Chen NC, Anderson KE, Adamson B, DiStefano MJ, Nair KV, McQueen RB. Key Considerations for Assessing Real-World Comparative Effectiveness in the Context of the Drug Price Negotiation Program: A Case Study of Pembrolizumab. Pharmacoeconomics. 2025 09; 43(9):1147-1160.
Score: 0.022
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Zemplenyi A, Leonard J, Wright GC, DiStefano MJ, Nair K, Anderson KE, McQueen RB. Innovative Payment Models for Sickle-Cell Disease Gene Therapies in Medicaid: Leveraging Real-World Data and Insights from CMMI's Gene Therapy Access Model. Pharmacoeconomics. 2025 05; 43(5):583-594.
Score: 0.022
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DiStefano MJ, Pearson SD, Rind DM, Zemplenyi A. How Do the Institute for Clinical and Economic Review's Assessments of Comparative Effectiveness Compare With the German Federal Joint Committee's Assessments of Added Benefit? A Qualitative Study. Value Health. 2024 08; 27(8):1066-1072.
Score: 0.021
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Zemplenyi A, Leonard J, DiStefano MJ, Anderson KE, Wright GC, Mendola ND, Nair K, McQueen RB. Using Real-World Data to Inform Value-Based Contracts for Cell and Gene Therapies in Medicaid. Pharmacoeconomics. 2024 03; 42(3):319-328.
Score: 0.020
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Chen NC, Zemplenyi AT, Adamson B, Kaizer AM, O'Bryant CL, McQueen RB, Anderson KE. Using Regression Discontinuity in Time to Strengthen Real-World Evidence: A Case Study in Lung Cancer. Med Decis Making. 2026 Jul; 46(5):601-623.
Score: 0.006
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Nikitin D, Mustafa RA, McQueen B, Zemplenyi A, DiStefano MJ, Nhan E, Kayali Y, Richardson M, Rind DM, Pearson SD, Agboola F. The effectiveness and value of midomafetamine-assisted psychotherapy for posttraumatic stress disorder. J Manag Care Spec Pharm. 2024 Oct; 30(10):1191-1195.
Score: 0.005
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Elvidge J, Hawksworth C, Avsar TS, Zemplenyi A, Chalkidou A, Petrou S, Petykó Z, Srivastava D, Chandra G, Delaye J, Denniston A, Gomes M, Knies S, Nousios P, Siirtola P, Wang J, Dawoud D. Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI). Value Health. 2024 09; 27(9):1196-1205.
Score: 0.005
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DiStefano MJ, Zemplenyi A, Anderson KE, Mendola ND, Nair KV, McQueen RB. Alternative approaches to measuring value: an update on innovative methods in the context of the United States Medicare drug price negotiation program. Expert Rev Pharmacoecon Outcomes Res. 2024 Feb; 24(2):171-180.
Score: 0.005
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DiStefano MJ, Zemplenyi A, McQueen RB. Assessing clinical benefit in the Medicare Drug Price Negotiation Program: A 2-step approach for improving transparency, consistency, and meaningful patient engagement. J Manag Care Spec Pharm. 2024 Mar 01; 30(3):252-258.
Score: 0.005
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McQueen RB, Inotai A, Zemplenyi A, Mendola N, Németh B, Kalo Z. Multistakeholder Perceptions of Additional Value Elements for United States Value Assessment of Health Interventions. Value Health. 2024 01; 27(1):15-25.
Score: 0.005
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Dimitrova M, Jakab I, Mitkova Z, Kamusheva M, Tachkov K, Nemeth B, Zemplenyi A, Dawoud D, Delnoij DMJ, Houýez F, Kalo Z. Potential Barriers of Patient Involvement in Health Technology Assessment in Central and Eastern European Countries. Front Public Health. 2022; 10:922708.
Score: 0.005
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Tachkov K, Zemplenyi A, Kamusheva M, Dimitrova M, Siirtola P, Pontén J, Nemeth B, Kalo Z, Petrova G. Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries. Front Public Health. 2022; 10:921226.
Score: 0.005
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Grigore B, Ciani O, Dams F, Federici C, de Groot S, Möllenkamp M, Rabbe S, Shatrov K, Zemplenyi A, Taylor RS. Surrogate Endpoints in Health Technology Assessment: An International Review of Methodological Guidelines. Pharmacoeconomics. 2020 10; 38(10):1055-1070.
Score: 0.004
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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