F. Innocenti
My main research interests are optimal design and sample sizes for nested designs (e.g. surveys in multilevel populations) and prediction modeling (e.g. test norming).
See my Github page https://github.com/FInnocenti-Stat
Innocenti, F., Candel, M., Tan, F., & van Breukelen, G. J. P. (2021). Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative. Statistical Methods in Medical Research, 30(2), 357-375. https://doi.org/10.1177/0962280220952833
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Innocenti, F., Tan, F. E. S., Candel, M. J. J. M., & van Breukelen, G. J. P. (2023). Sample size calculation and optimal design for regression-based norming of tests and questionnaires. Psychological Methods, 28(1), 89-106. https://doi.org/10.1037/met0000394
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Innocenti, F., Candel, M. J. J. M., Tan, F. E. S., & van Breukelen, G. J. P. (2019). Relative efficiencies of two-stage sampling schemes for mean estimation in multilevel populations when cluster size is informative. Statistics in Medicine, 38(10), 1817-1834. https://doi.org/10.1002/sim.8070
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Grilli, L., & Innocenti, F. (2017). Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study. Journal of Statistical Computation and Simulation, 87(14), 2689-2707 . https://doi.org/10.1080/00949655.2017.1341886
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Innocenti, F. (2021). Efficient designs for mean estimation in multilevel populations and test norming. [Doctoral Thesis, Maastricht University]. Maastricht University. https://doi.org/10.26481/dis.20210520fi
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F. Innocenti
Assistant Professor
FHML Methodologie & Statistiek
School CAPHRI, Care & Publ Health Res In
Fac. Health, Medicine and Life Sciences