Daniel L. Oberski
Daniel L. Oberski
Utrecht University / University Medical Center Utrecht, The Netherlands
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Zitiert von
Zitiert von
Mixture models: Latent profile and latent class analysis
D Oberski
Modern statistical methods for HCI, 275-287, 2016
lavaan. survey: An R package for complex survey analysis of structural equation models
D Oberski
Journal of statistical software 57, 1-27, 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
Lavaan: latent variable analysis
Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ...
Personality and political participation: The mediation hypothesis
A Gallego, D Oberski
Political behavior 34, 425-451, 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
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
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
Shrinkage priors for Bayesian penalized regression
S Van Erp, DL Oberski, J Mulder
Journal of Mathematical Psychology 89, 31-50, 2019
Statistical challenges of administrative and transaction data
DJ Hand
Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018
Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference.
Z Bakk, DL Oberski, JK Vermunt
Political analysis 22 (4), 2014
Prior sensitivity analysis in default Bayesian structural equation modeling.
S Van Erp, J Mulder, DL Oberski
Psychological Methods 23 (2), 363, 2018
Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models
DL Oberski
Political analysis 22 (1), 45-60, 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
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
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
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
Can’t see the wood for the trees? An assessment of street view-and satellite-derived greenness measures in relation to mental health
M Helbich, R Poppe, D Oberski, MZ van Emmichoven, R Schram
Landscape and Urban Planning 214, 104181, 2021
Measurement error models with uncertainty about the error variance
DL Oberski, A Satorra
Structural Equation Modeling: A Multidisciplinary Journal 20 (3), 409-428, 2013
Issues in the structural equation modeling of complex survey data
KA Bollen, SJ Tueller, D Oberski
Proceedings of the 59th World Statistics Congress, 1235-1240, 2013
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