F. Innocenti

My main research interests: optimal design, sample size calculation, multilevel modeling, survey sampling, test norming.

Supporting materials for my methodological work are available on my https://github.com/FInnocenti-Stat 

Shiny apps for applying my sample size formulas for test norming can be accessed here:

https://francescoinnocenti.shinyapps.io/shinyapp_od_univariate_norming/

https://francescoinnocenti.shinyapps.io/ShinyApp_SampSize_MahalaDist/

https://francescoinnocenti.shinyapps.io/shinyapp_re_subodesigns/

• 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

  More information about this publication
• 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

  More information about this publication
• 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

  More information about this publication
• 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

  More information about this publication
• 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

  More information about this publication
• Innocenti, F., Candel, M., Tan, F., & van Breukelen, G. J. P. (2024). Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming. Journal of Educational and Behavioral Statistics, 49(5), 817-847. https://doi.org/10.3102/10769986231210807

  More information about this publication