Tom Wilderjans
Universitair hoofddocent
- Naam
- Dr. T.F. Wilderjans
- Telefoon
- +31 71 527 6058
- t.f.wilderjans@fsw.leidenuniv.nl
- ORCID iD
- 0000-0002-1677-4938
Lees meer op de Engelse medewerkerspagina.
Universitair hoofddocent
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Luenen S. van, Kraaij V., Spinhoven P., Wilderjans T.F. & Garnefski N. (2019), Exploring Mediators of a Guided Web-Based Self-Help Intervention for People With HIV and Depressive Symptoms: Randomized Controlled Trial, JMIR Mental Health 6(8): e12711.
- Durieux J. & Wilderjans T.F. (2019), Partitioning subjects based on high-dimensional fMRI data: comparison of several clustering methods and studying the influence of ICA data reduction in big data, Behaviormetrika 46(2): 271-311.
- Van der Werf M.M.B., Van Dijk W.W., Wilderjans T.F. & Van Dillen L.F. (2019), The road to the piggy bank: Two behavioural interventions to increase savings.. In: Sassenberg K., Vliek M.L.W. (red.) Social Psychology in Action: Evidence-based Interventions from Theory to Practice.: Springer, Cham. 195-204.
- Sleuwaegen E., Claes L., Luyckx K., Wilderjans T.F., Berens A. & Sabbe B. (2018), Do treatment outcomes differ after 3 months DBT inpatient treatment based on borderline personality disorder subtypes?, Personality and Mental Health 12(4): 321-333.
- Waaijenborg S., Korobko O., Willems van Dijk J.A.P.., Lips M., Hankemeier T., Wilderjans T.F., Smilde A.K. & Westerhuis J.A. (2018), Fusing metabolomics data sets with heterogeneous measurement errors, PLoS ONE 13(4): e0195939.
- Goemans A., Geel M. van, Wilderjans T.F., Ginkel J.R. van & Vedder P. (2018), Predictors of school engagement in foster children: A longitudinal study., Children and Youth Services Review 88: 33-43.
- Spruit I.M., Wilderjans T.F. & Van Steenbergen H. (2018), Heart work after errors: Behavioral adjustment following error commission involves cardiac effort, Cognitive, Affective, & Behavioral Neuroscience 18(2): 375-388.
- Cariou V. & Wilderjans T.F. (2018), Consumer segmentation in multi-attribute product evaluation by means of non-negatively constrained CLV3W., Food Quality and Preference 67: 18-26.
- Wilderjans T.F., Vande Gaer E., Kiers H.A.L., Van Mechelen I. & Ceulemans E. (2017), Principal covariates clusterwise regression (PCCR): Accounting for multicollinearity and population heterogeneity in hierarchically organized data, Psychometrika 82(1): 86-111.
- Vandenbroucke T., Han S.N., Van Calsteren K., Wilderjans T.F.,Van den Bergh B.R., Claes L. & Amant F. (2017), Psychological distress and cognitive coping in pregnant women diagnosed with cancer and their partners., Psycho Oncology 26(8): 1215-1221.
- Doove L.L., Wilderjans T.F., Calcagni A. & Mechelen I. van (2017), Deriving optimal data-analytic regimes from benchmarking studies., Computational Statistics and Data Analysis 107: 81-91.
- Wilderjans T.F. & Cariou V. (2016), CLV3W: A clustering around latent variables approach to detect panel disagreement in three-way conventional sensory profiling data, Food Quality and Preference 47: 45-53.
- Ceulemans E., Wilderjans T.F., Kiers H.A.L. & Timmerman M.E. (2016), MultiLevel simultaneous component analysis: A computational shortcut and software package, Behavior Research Methods 48(3): 1008-1020.
- Gandhi A., Claes L., Bosmans G., Baetens I., Wilderjans T.F., Maitra S., Kiekens G. & Luyckx K. (2016), Non-suicidal self-injury and adolescents attachment with peers and mother: The mediating role of identity synthesis and confusion, Journal of Child and Family Studies 25(6): 1735-1745.
- Kutzera J., Smilde A.K., Wilderjans T.F. & Hoefsloot H.C.J. (2015), Towards a hierarchical strategy to explore Multi-scale IP/MS data for protein complexes, PLoS ONE 2015(10): e0139704.
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