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Gianluca Baio
Gianluca Baio
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Selected Publications

A complete list of publications is available here

G Baio (2020). survHE: Survival analysis for health economic evaluation and cost-effectiveness modelling. Journal of Statistical Software.

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G Baio, M Blangiardo (2020). Why counting coronavirus deaths is not an exact science. Why counting coronavirus deaths is not an exact science. The Guardian 19 April 2020.

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A Gabrio, M Daniels, G Baio (2019). A Bayesian parametric approach to handle missing longitudinal outcome data in trial-based health economic evaluations. Journal of the Royal Statistical Society: Series A (Statistics in Society).

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S Geneletti, F Ricciardi, A O'Keeffe, G Baio (2019). Bayesian modelling for binary outcomes in the Regression Discontinuity Design. Journal of the Royal Statistical Society: Series A (Statistics in Society).

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A Gabrio, A Mason, G Baio (2018). A Full Bayesian Model to Handle Structural Ones and Missingness in Economic Evaluations from Individual-Level Data. Statistics in Medicine.

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G Baio (2018). Statistical Modeling for Health Economic Evaluations. Annual Review of Statistics and its Application.

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A Heath, I Manolopoulou, G Baio (2017). Efficient Monte Carlo Estimation of the Expected Value of Sample Information Using Moment Matching. Medical Decision Making.

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A Heath, I Manolopoulou, G Baio (2016). Estimating the expected value of partial perfect information in health economic evaluations using Integrated Nested Laplace Approximation. Statistics in Medicine.

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K Haeussler, A Marcellusi, F Mennini, G Favato, M Picardo, G Garganese, M Bononi, S Costa, G Scambia, P Zweifel, A Capone, G Baio (2015). Cost-effectiveness analysis of universal human papillomavirus vaccination using a dynamic Bayesian methodology: The BEST II study. Value in Health.

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C Minelli, G Baio (2015). Value of Information: A Tool to Improve Research Prioritization and Reduce Waste. PLoS Medicine.

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G Baio, A Copas, G Ambler, J Hargreaves, E Beard, R Omar (2015). Sample size calculation for a stepped wedge trial. Trials.

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S Geneletti, A O'Keeffe, L Sharples, S Richardson, G Baio (2015). Bayesian regression discontinuity designs: incorporating clinicalknowledge in the causal analysis of primary care data. Statistics in Medicine.

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© Gianluca Baio 2022-2024 · Based on the Academic theme (version 5.3.0) for Hugo.

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