Henk Kelderman
Gastmedewerker
- Naam
- Prof.dr. H. Kelderman
- Telefoon
- +31 71 527 2727
- h.kelderman@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-9074-0229
Lees verder op de Engelse medewerkerspagina.
Gastmedewerker
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- De Rooij M.J., Karch J.D., Fokkema M., Bakk Z., Pratiwi B.C. & Kelderman H. (2022), SEM-based out-of-sample predictions, Structural Equation Modeling: A Multidisciplinary Journal : 1-17.
- Fokkema M., Smits N., Zeileis A., Hothorn T. & Kelderman H. (2018), Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees, Behavior Research Methods 50(5): 2016-2034.
- Solis E., Antypa N., Conijn J.M., Kelderman H. & Does A.J.W. van der (2017), Psychometric Properties of the Leiden Index of Depression Sensitivity (LEIDS), Psychological Assessment 29(2): 158-171.
- Van de Graaf E.S., Borsboom J.J.M., Van der Sterre G.W., Felius J., Simonsz H.J. & Kelderman H. (2017), Differences in quality-of-life dimensions of Adult Strabismus Quality of Life and Amblyopia & Strabismus Questionnaires, Graefes Archive for Clinical and Experimental Ophthalmology 255(9): 1851-1858.
- Smits N., Finkelman M.D. & Kelderman H. (2016), Stochastic curtailment of questionnaires for three-level classification: Shortening the CES-D for assessing low, moderate, and high risk of depression, Applied Psychological Measurement 40(1): 22-36.
- Fokkema M., Smits N., Kelderman H. & Penninx B.W.J.H. (2015), Connecting clinical and actuarial prediction with rule-based methods, Psychological Assessment 27(2): 636-644.
- Fokkema M., Smits N., Zeileis A., Hothorn T. & Kelderman H. (2015), Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees. Working paper. Working Papers in Economics and Statistics University of Innsbruck.
- Fokkema M., Smits N., Kelderman H., Carlier I.V.E. & Van Hemert A.M. (2014), Combining decision trees and stochastic curtailment for assessment length reduction of test batteries used for classification, Applied Psychological Measurement 38(1): 3-17.
- Fokkema M., Smits N., Finkelman M.D., Kelderman H. & Cuijpers P. (2014), Curtailment: A method to reduce the length of self-report questionnaires while maintaining diagnostic accuracy, Psychiatry Research 215(2): 477-482.
- Engin Ö, Despriet D.D.G., Meulen-Schot H.M. van der, Romers A., Slot X., Tjon Fo Sang M., Fronius M., Kelderman H. & Simonsz H.J. (2014), Comparison of optotypes of Amsterdam Picture Chart with those of Tumbling-E, LEA Symbols, ETDRS, and Landolt-C in non-amblyopic and amblyopic patients, Graefes Archive for Clinical and Experimental Ophthalmology 252(12): 2013-2020.