| Estimating a marginal causal odds ratio in a case‐control design: analyzing the effect of low birth weight on the risk of type 1 diabetes mellitus E Persson, I Waernbaum Statistics in Medicine 32 (14), 2500-2512, 2013 | 20 | 2013 |
| Data-driven algorithms for dimension reduction in causal inference E Persson, J Häggström, I Waernbaum, X de Luna Computational statistics & data analysis 105, 280-292, 2017 | 19 | 2017 |
| Effect of type 1 diabetes on school performance in a dynamic world: new analysis exploring Swedish register data E Persson, S Persson, UG Gerdtham, K Steen Carlsson, ... Applied Economics 51 (24), 2606-2622, 2019 | 17 | 2019 |
| CovSel: An R package for covariate selection when estimating average causal effects J Häggström, E Persson, I Waernbaum, X de Luna Journal of Statistical Software 68, 1-20, 2015 | 14 | 2015 |
| Estimating marginal causal effects in a secondary analysis of case‐control data E Persson, I Waernbaum, T Lind Statistics in Medicine 36 (15), 2404-2419, 2017 | 5 | 2017 |
| Datadriven algorithms for dimension reduction in causal inference: analyzing the effect of school achievements on acute complications of type 1 diabetes mellitus E Persson, J Häggström, I Waernbaum, X de Luna Preprint. arXiv 1309, 2013 | 3 | 2013 |
| Causal inference and case-control studies with applications related to childhood diabetes E Persson Umeå universitet, 2014 | 2 | 2014 |
| Package ‘CovSel’ J Häggström, E Persson, MJ Häggström CRAN, 2015 | 1 | 2015 |
Ingeborg WaernbaumProfessor of Statistics, Uppsala University在 statistik.uu.se 的电子邮件经过验证
Ingeborg WaernbaumProfessor of Statistics, Uppsala University在 statistik.uu.se 的电子邮件经过验证
Jenny HäggströmUmeå University在 umu.se 的电子邮件经过验证