a person in the record
Xavier de Luna
Supervised 16 doctoral students at Umeå universitet.
Students16
- Kreske Ecker“Studying earnings trajectories as functional outcomes”2024 · Umeå universitet · doctoral
- Ghasempour Mohammad“Machine learning for efficient and robust causal inference and prediction”2024 · Umeå universitet · doctoral
- Niloofar Moosavi“Valid causal inference in high-dimensional and complex settings”2022 · Umeå universitet · doctoral
- Septi Kurnia Lestari“Active and healthy ageing in Europe”2022 · Umeå universitet · doctoral
- Tetiana Gorbach“Methods for longitudinal brain imaging studies with dropout”2019 · Umeå universitet · doctoral
- Philip Fowler“Methods for improving covariate balance in observational studies”2017 · Umeå universitet · doctoral
- Anita Lindmark“Statistical methods for register based studies with applications to stroke”2016 · Umeå universitet · doctoral
- Minna Genbäck“Uncertainty intervals and sensitivity analysis for missing data”2016 · Umeå universitet · doctoral
- Emma Persson“Causal inference and case-control studies with applications related to childhood diabetes”2014 · Umeå universitet · doctoral
- Maria Josefsson“Attrition in Studies of Cognitive Aging”2013 · Umeå universitet · doctoral
- Jenny Häggström“Selection of smoothing parameters with application in causal inference”2011 · Umeå universitet · doctoral
- Mathias Lundin“Sensitivity Analysis of Untestable Assumptions in Causal Inference”2011 · Umeå universitet · doctoral
- Kenny Bränberg“Observed score equating with covariates”2010 · Umeå universitet · doctoral
- Jessica Fahlén“Essays on spatial point processes and bioinformatics”2010 · Umeå universitet · doctoral
- Suad Elezovic“Modeling financial volatility”2009 · Umeå universitet · doctoral
- Ingeborg Waernbaum“Covariate selection and propensity score specification in causal inference”2008 · Umeå universitet · doctoral
Sat beside the lineage
Theses they sat beside as committee member, examiner or in another role: never counted as advisor or student.
- Caroline Svahn“Prediction Methods for High Dimensional Data with Censored Covariates”opponent · 2022 · Linköpings universitet · doctoral
run publish-diva-20261011T033505Z · DiVA · Wikidata run graph-wikidata-20261008T172418Z