Peer reviewed journal articles
- Kern, C., Klausch, T., & Kreuter, F. (2019). Tree-based Machine Learning Methods for Survey Research. Survey Research Methods, 13(1), 73–93.
- Schuller, W., Terwee, C. B., Klausch, T., Roorda, L. D., Rohrich, D. C., Ostelo, R. W., … De, H. V. (2019). Validation of the Dutch-Flemish PROMIS Pain Interference Item Bank in Patients With Musculoskeletal Complaints. Spine, 44(6), 411–419.
- Bálint, K., Klausch, T., & Pólya, T. (2018). Watching closely: Shot scale influences theory of mind response in visual narratives. Journal of Media Psychology: Theories, Methods, and Applications, 30(3), 150–159.
- Crins, M. H. P., Wees, P. J. van der, Klausch, T., Dulmen, S. A. van, Roorda, L. D., & Terwee, C. B. (2018). Psychometric properties of the PROMIS Physical Function item bank in patients receiving physical therapy. PLOS ONE, 13(2), e0192187.
- Hartman, L., Rasch, L. A., Klausch, T., Bijlsma, H. W. J., Christensen, R., Smulders, Y. M., …, Boers, M. (2018). Harm, benefit and costs associated with low-dose glucocorticoids added to the treatment strategies for rheumatoid arthritis in elderly patients (GLORIA trial): study protocol for a randomised controlled trial. Trials, 19(1), 67.
- Crins, M. H. P., Terwee, C. B., Klausch, T., Smits, N., de Vet, H. C. W., Westhovens, R., …, Roorda, L. D. (2017). The Dutch–Flemish PROMIS Physical Function item bank exhibited strong psychometric properties in patients with chronic pain. Journal of Clinical Epidemiology, 87, 47–58.
- Klausch, T., Schouten, B., Buelens, B., & Van Den Brakel, J. (2017). Adjusting Measurement Bias in Sequential Mixed-Mode Surveys Using Re-Interview Data. Journal of Survey Statistics and Methodology, 5(4), 409–432.
- Klausch, T., Schouten, B., & Hox, J. J. (2017). Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys. Sociological Methods & Research, 46(3), 456–489.
- Klausch, T., Hox, J., & Schouten, B. (2015). Selection Error in Single- and Mixed-Mode Surveys of the Dutch General Population. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(4), 945-961.
- Klausch, T., Hox, J., & Schouten, B. (2013). Measurement Effects of Survey Mode on the Equivalence of Attitudinal Rating Scale Questions. Sociological Methods and Research, 42(3), 227-263.
- Schouten, B., van den Brakel, J., Buelens, B., van der Laan, J., Burger, J., & Klausch, T. (2013). Disentangling mode-specific selection and measurement bias in social surveys. Social Science Research, 42(6), 1555-1570.
Papers completed (under review / to be submitted)
- Klausch, T., van de Ven, P., van de Brug, T., van de Wiel, M. A., & Berkhof, J. (2018). Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data. Available from: https://arxiv.org/abs/1809.06679v2.
- Klausch, T., Nauta, I., van de Ven, P., et. al. , Berkhof, J., & Brakenhoff, R. (2019). The efficacy of platinum-based chemotherapy in OPSCC: Causal modeling of real-world multicenter cohort data.
- Schouten, B., Klausch, T., Buelens, B. & van den Brakel, J. (2019). A cost-benefit analysis of re-interview designs for mode-specific measurement bias: A case study for the Dutch Health survey and Labour Force survey.
- Jongeneel, G., Klausch, T., …, & Coupe, V. (2019). Estimating adjuvant treatment effects in stage II colon cancer: comparing the synthesis of RCT data to real world data.
- Jager, J., Maarse, F., Klausch, T., et al. (2019). Wound dehiscences following pre-implant bone augmentation with autogenous iliac crest bone grafts: A retrospective cohort study (2019). (Minor revisions at International Journal of Oral Implantology).
Books and articles in edited books
- Klausch, T. (2014). Informed Design of Mixed-Mode Surveys: Evaluating Mode Effects on Measurement and Selection Error. Unpublished PhD thesis, Utrecht University, Utrecht.
- Roberts, A., de Leeuw E., Hox, J., Klausch, T., de Jongh, A. (2013). Leuker kunnen wij het wel maken. Online vragenlijst design: standaard matrix of scrollmatrix (We can actually make it nicer. Online questionnaire design: standard matrix or scrollmatrix). In MOA (ed.), Jaarboek MarktOnderzoekAssociatie 2013(pp. 133-148). Amsterdam: MOA.
- Roberts, A., de Leeuw, E., Hox, J., Klausch, T., & de Jongh, A. (2013). Pret met panels (Fun with panels). In MOA (ed.), Insights in Marketing Intelligence: Highlights en trends uit het MOA Jaarboek 2013 (pp. 44-46). Amsterdam: MOA.
- De Vreese, C. & Klausch, T. (2011). The Salience of Frames and their Effects on the Support for CFSP and Supranational Policy Allocation. In K. Oppermann & H. Viehring (eds.), Issue Salience in International Politics (pp. 118-136). Abingdon: Routledge.
Discussion papers and deliverables
- Klausch, T., van de Ven, P., & Berkhof, J. (2018). Deliverable D4.1: The BD2Decide survival model recalibration, validation and prognostic tool package. Brussels: European Commission.
- Klausch, T., Schouten, B., & Hox, J. (2014). The Use of Within-Subject Experiments for Estimating Measurement Effects in Mixed-Mode Surveys (Discussion Paper No. 2014-06). The Hague, The Netherlands: Statistics Netherlands.
- Klausch, T., Hox, J. , & Schouten, B. (2013). Assessing the mode-dependency of sample selectivity across the survey response process (Discussion Paper No. 2013-03). The Hague, The Netherlands: Statistics Netherlands.
- Buelens, B., van der Laan, J., Schouten, B., van den Brakel, J., & Klausch, T. (2012). Disentangling mode-specific selection and measurement bias in social surveys (Discussion paper No. 201211). The Hague, The Netherlands: Statistics Netherlands.