| Exploratory data analysis for the interpretation of low template DNA mixtures H Haned, K Slooten, P Gill Forensic Science International: Genetics 6 (6), 762-774, 2012 | 129 | 2012 |
| The LR does not exist CEH Berger, K Slooten Science & Justice 56 (5), 388-391, 2016 | 67 | 2016 |
| DNAxs/DNAStatistX: development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles CCG Benschop, J Hoogenboom, P Hovers, M Slagter, D Kruise, R Parag, ... Forensic Science International: Genetics 42, 81-89, 2019 | 54 | 2019 |
| Probability and forensic evidence: Theory, philosophy, and applications R Meester, K Slooten Cambridge University Press, 2021 | 40 | 2021 |
| Contributors are a nuisance (parameter) for DNA mixture evidence evaluation K Slooten, A Caliebe Forensic Science International: Genetics 37, 116-125, 2018 | 40 | 2018 |
| Accurate assessment of the weight of evidence for DNA mixtures by integrating the likelihood ratio K Slooten Forensic Science International: Genetics 27, 1-16, 2017 | 35 | 2017 |
| Probabilistic strategies for familial DNA searching K Slooten, R Meester Journal of the Royal Statistical Society Series C: Applied Statistics 63 (3 …, 2014 | 34 | 2014 |
| Identifying common donors in DNA mixtures, with applications to database searches K Slooten Forensic Science International: Genetics 26, 40-47, 2017 | 32 | 2017 |
| Validation of DNA-based identification software by computation of pedigree likelihood ratios K Slooten Forensic Science International: Genetics 5 (4), 308-315, 2011 | 31 | 2011 |
| Estimation of mutation probabilities for autosomal STR markers K Slooten, F Ricciardi Forensic Science International: Genetics 7 (3), 337-344, 2013 | 29 | 2013 |
| Optimal strategies for familial searching M Kruijver, R Meester, K Slooten Forensic Science International: Genetics 13, 90-103, 2014 | 28 | 2014 |
| Bonaparte: application of new software for missing persons program CJ Van Dongen, K Slooten, M Slagter, W Burgers, W Wiegerinck Forensic Science International: Genetics Supplement Series 3 (1), e119-e120, 2011 | 24 | 2011 |
| Exclusion probabilities and likelihood ratios with applications to mixtures KJ Slooten, T Egeland International journal of legal medicine 130 (1), 39-57, 2016 | 23 | 2016 |
| Generalized Springer correspondence and Green functions for type B/C graded Hecke algebras K Slooten Advances in Mathematics 203 (1), 34-108, 2006 | 23 | 2006 |
| A top-down approach to DNA mixtures K Slooten Forensic Science International: Genetics 46, 102250, 2020 | 21 | 2020 |
| Bayesian networks for victim identification on the basis of DNA profiles CJ Bruijning-van Dongen, K Slooten, W Burgers, W Wiegerinck Forensic Science International: Genetics Supplement Series 2 (1), 466-468, 2009 | 20 | 2009 |
| p-Values should not be used for evaluating the strength of DNA evidence M Kruijver, R Meester, K Slooten Forensic Science International: Genetics 16, 226-231, 2015 | 19 | 2015 |
| Exclusion probabilities and likelihood ratios with applications to kinship problems KJ Slooten, T Egeland International journal of legal medicine 128 (3), 415-425, 2014 | 19 | 2014 |
| Forensic identification: the island problem and its generalisations K Slooten, R Meester Statistica Neerlandica 65 (2), 202-237, 2011 | 16 | 2011 |
| The comparison of DNA mixture profiles with multiple persons of interest K Slooten Forensic Science International: Genetics 56, 102592, 2022 | 14 | 2022 |
Thore EgelandProfessor statistics, Norwegian University of Life SciencesVerified email at nmbu.no
