| Decision trees in epidemiological research A Venkatasubramaniam, J Wolfson, N Mitchell, T Barnes, M JaKa, ... Emerging themes in epidemiology 14, 1-12, 2017 | 126 | 2017 |
| Effect of 40-cm segment umbilical cord milking on hemoglobin and serum ferritin at 6 months of age in full-term infants of anemic and non-anemic mothers R Bora, SS Akhtar, A Venkatasubramaniam, J Wolfson, R Rao Journal of Perinatology 35 (10), 832-836, 2015 | 51 | 2015 |
| Branching out: use of decision trees in epidemiology J Wolfson, A Venkatasubramaniam Current Epidemiology Reports 5, 221-229, 2018 | 19 | 2018 |
| Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine A Venkatasubramaniam, BA Mateen, BM Shields, AT Hattersley, ... BMC Medical Informatics and Decision Making 23 (1), 110, 2023 | 5 | 2023 |
| Assessing effect heterogeneity of a randomized treatment using conditional inference trees A Venkatasubramaniam, B Koch, L Erickson, S French, D Vock, J Wolfson Statistical Methods in Medical Research, 2021 | 3 | 2021 |
| Functional distributional clustering using spatio-temporal data A Venkatasubramaniam, L Evers, P Thakuriah, K Ampountolas Journal of Applied Statistics 50 (4), 909-926, 2023 | 1 | 2023 |
| Best (but often forgotten) Statistical Practices: Measuring Real-World Intervention Effectiveness using Electronic Health Data J Wolfson, A Venkatasubramaniam The American Journal of Clinical Nutrition 118 (1), 13-22, 2023 | | 2023 |
| visTree: Visualization of Subgroups for a Decision Tree A Venkatasubramaniam, J Wolfson arXiv preprint arXiv:2103.04139, 2021 | | 2021 |
| Nonparametric clustering for spatio-temporal data AK Venkatasubramaniam University of Glasgow, 2019 | | 2019 |
