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Department of Pure Mathematics and Mathematical Statistics

Martina Scauda

Publications

A Latent Causal Inference Framework for Ordinal Variables
M Scauda, J Kuipers, G Moffa
(2025)
(link to publication)
Nonlinear mixed-effects modeling as a method for causal inference to predict exposures under desired within-subject dose titration schemes.
C Bartels, M Scauda, N Coello, T Dumortier, B Bornkamp, G Moffa
– CPT Pharmacometrics Syst Pharmacol
(2024)
14,
68
(doi: 10.1002/psp4.13239)
Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
C Bartels, M Scauda, N Coello, T Dumortier, B Bornkamp, G Moffa
(2024)
(link to publication)
Physics-Informed Machine Learning Simulator for Wildfire Propagation
L Bottero, F Calisto, G Graziano, V Pagliarino, M Scauda, S Tiengo, S Azeglio
(2020)
(link to publication)

Email

ms2985@cam.ac.uk

Room

D0.04

Personal homepage

https://martinascauda.github.io

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