| Mixture models: Latent profile and latent class analysis D Oberski Modern statistical methods for HCI, 275-287, 2016 | 607 | 2016 |
| lavaan. survey: An R package for complex survey analysis of structural equation models D Oberski Journal of statistical software 57, 1-27, 2014 | 451 | 2014 |
| Lavaan: latent variable analysis Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ... | 313* | 2014 |
| An open source machine learning framework for efficient and transparent systematic reviews R Van De Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ... Nature machine intelligence 3 (2), 125-133, 2021 | 275 | 2021 |
| Personality and political participation: The mediation hypothesis A Gallego, D Oberski Political behavior 34, 425-451, 2012 | 261 | 2012 |
| Big Five personality stability, change, and codevelopment across adolescence and early adulthood. J Borghuis, JJA Denissen, D Oberski, K Sijtsma, WHJ Meeus, S Branje, ... Journal of personality and social psychology 113 (4), 641, 2017 | 230 | 2017 |
| Elevation alters ecosystem properties across temperate treelines globally JR Mayor, NJ Sanders, AT Classen, RD Bardgett, JC Clement, A Fajardo, ... Nature 542 (7639), 91-95, 2017 | 225 | 2017 |
| Enhancing psychological capital and personal growth initiative: Working on strengths or deficiencies. MC Meyers, M van Woerkom, RSM de Reuver, Z Bakk, DL Oberski Journal of counseling psychology 62 (1), 50, 2015 | 193 | 2015 |
| Shrinkage priors for Bayesian penalized regression S Van Erp, DL Oberski, J Mulder Journal of Mathematical Psychology 89, 31-50, 2019 | 177 | 2019 |
| Statistical challenges of administrative and transaction data DJ Hand Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018 | 133 | 2018 |
| Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference. Z Bakk, DL Oberski, JK Vermunt Political analysis 22 (4), 2014 | 131 | 2014 |
| Prior sensitivity analysis in default Bayesian structural equation modeling. S Van Erp, J Mulder, DL Oberski Psychological Methods 23 (2), 363, 2018 | 115 | 2018 |
| Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models DL Oberski Political analysis 22 (1), 45-60, 2014 | 110 | 2014 |
| Places and preferences: A longitudinal analysis of self-selection and contextual effects A Gallego, F Buscha, P Sturgis, D Oberski British Journal of Political Science 46 (3), 529-550, 2016 | 85 | 2016 |
| A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models DL Oberski, GH van Kollenburg, JK Vermunt Advances in Data Analysis and Classification 7, 267-279, 2013 | 72 | 2013 |
| Hidden Markov item response theory models for responses and response times D Molenaar, D Oberski, J Vermunt, P De Boeck Multivariate behavioral research 51 (5), 606-626, 2016 | 70 | 2016 |
| Measurement error models with uncertainty about the error variance DL Oberski, A Satorra Structural Equation Modeling: A Multidisciplinary Journal 20 (3), 409-428, 2013 | 63 | 2013 |
| Identification of predicted individual treatment effects in randomized clinical trials A Lamont, MD Lyons, T Jaki, E Stuart, DJ Feaster, K Tharmaratnam, ... Statistical methods in medical research 27 (1), 142-157, 2018 | 61 | 2018 |
| Issues in the structural equation modeling of complex survey data KA Bollen, SJ Tueller, D Oberski Proceedings of the 59th World Statistics Congress, 2013, 2013 | 58 | 2013 |
| Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models DL Oberski, A Kirchner, S Eckman, F Kreuter Journal of the American Statistical Association 112 (520), 1477-1489, 2017 | 56 | 2017 |
Jeroen K VermuntProfessor of Methodology and Statistics, Tilburg UniversityVerified email at uvt.nl
