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The premarket assessment of the cost-effectiveness of a predictive technology "Straticyte™" for the early detection of oral cancer : a decision analytic model
Khoudigian-Sinani, S.; Blackhouse, G.; Levine, M.; … - In: Health economics review 7 (2017) 35, pp. 1-9
the pre-market stage, that more accurately identifies patients at high risk for oral cancer than histopathology alone … alone for oral cancer diagnosis in adult patients. Methods: A decision-analytic model was constructed after narrowing the … fewer cancer cases (31 versus 36 per 100 patients) and lower total costs per cancer case avoided (3,360 versus 3,553). This …
Persistent link: https://www.econbiz.de/10011763449
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Confounding and missing data in cost-effectiveness analysis : comparing different methods
Härkänen, Tommi; Maljanen, Timo; Lindfors, Olavi; … - In: Health economics review 3 (2013) 8, pp. 1-11
Introduction: Common approaches in cost-effectiveness analyses do not adjust for confounders. In nonrandomized studies this can result in biased results. Parametric models such as regression models are commonly applied to adjust for confounding, but there are several issues which need to be...
Persistent link: https://www.econbiz.de/10009783264
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Prediction of US cancer mortality counts using semiparametric Bayesian techniques
Ghosh, Kaushik; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 7-15
Persistent link: https://www.econbiz.de/10003430634
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Performance of autoregressive tree model in forecasting cancer patients
Kaur, Sukhpal; Rakshit, Madhuchanda - In: Strategic system assurance and business analytics, (pp. 187-200). 2020
Persistent link: https://www.econbiz.de/10012240951
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A model to predict the cost-effectiveness of disease management programs
Gandjour, Afschin - In: Health economics 19 (2010) 6, pp. 697-715
Persistent link: https://www.econbiz.de/10008651202
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Predicting COVID-19 vaccine uptake
Pronkina, Elizaveta; Rees, Daniel I. - 2022
Although COVID-19 vaccines are safe and effective, many adults are hesitant or unwilling to use them. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona survey, we examine the correlates of vaccine uptake among Europeans ages 50 and older. We find that...
Persistent link: https://www.econbiz.de/10013414866
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Predictors of negotiated prices for new drugs in Germany
Gandjour, Afschin; Schüßler, Sofia; Hammerschmidt, Thomas - In: The European journal of health economics : HEPAC ; … 21 (2020) 7, pp. 1049-1057
Persistent link: https://www.econbiz.de/10012489955
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How Institutional Actions before Vaccine Affects Vaccination Intention Later : Prediction Via Machine Learning
Bughin, Jacques R.; Cincera, Michele - 2021
We predict the portfolio of COVID-19 vaccination drivers through a large set of Machine Learning techniques for 5 …
Persistent link: https://www.econbiz.de/10013233610
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Machine leanring for predicting caccine immunogenicity
Lee, Eva K.; Nakaya, Helder I.; Yuan, Fan; Querec, Troy D. - In: Interfaces : the INFORMS journal on the practice of … 46 (2016) 5, pp. 368-390
Persistent link: https://www.econbiz.de/10011594717
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COVID-19 : prediction, prevalence, and the operations of vaccine allocation
Bennouna, Amine; Joseph, Joshua; Nze-Ndong, David; … - In: Manufacturing & service operations management : M & SOM 25 (2023) 3, pp. 1013-1032
Persistent link: https://www.econbiz.de/10014302832