| Covariate selection strategies for causal inference: Classification and comparison J Witte, V Didelez Biometrical Journal 61 (5), 1270-1289, 2019 | 116 | 2019 |
| On efficient adjustment in causal graphs J Witte, L Henckel, MH Maathuis, V Didelez Journal of Machine Learning Research 21 (246), 1-45, 2020 | 94 | 2020 |
| Multiple imputation and test‐wise deletion for causal discovery with incomplete cohort data J Witte, R Foraita, V Didelez Statistics in medicine 41 (23), 4716-4743, 2022 | 27 | 2022 |
| A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents R Foraita, J Witte, C Börnhorst, W Gwozdz, V Pala, L Lissner, F Lauria, ... Scientific Reports 14 (1), 6822, 2024 | 19 | 2024 |
| A practical guide to causal discovery with cohort data RM Andrews, R Foraita, V Didelez, J Witte arXiv preprint arXiv:2108.13395, 2021 | 17 | 2021 |
| Software application profile: tpc and micd—R packages for causal discovery with incomplete cohort data RM Andrews, CW Bang, V Didelez, J Witte, R Foraita International Journal of Epidemiology 53 (5), dyae113, 2024 | 5 | 2024 |
| Improving finite sample performance of causal discovery by exploiting temporal structure CW Bang, J Witte, R Foraita, V Didelez arXiv preprint arXiv:2406.19503, 2024 | 3 | 2024 |
| Causal model selection in epidemiology J Lüschen Universität Bremen, 2021 | | 2021 |
Vanessa DidelezProfessor of Statistics and Causal Inference, Leibniz Inst f Prevention Res and Epidemiology - BIPSVerified email at leibniz-bips.de
