Publications
2025
Scholarly publications
Ibanez, C. N. B., & Moerbeek, M. (2025). Method for Sample Size Determination for Cluster-Randomized Trials Using the Bayes Factor. Journal of Educational and Behavioral Statistics. [DOI]
Moerbeek, M. (2025). Optimal group sizes for testing group mean differences using the Bayes factor. Journal of Applied Statistics. Advance online publication. [DOI]
2024
Scholarly publications
Wu, S., Boonstra, H.-J., Moerbeek, M., & Schouten, B. (2024). Robust adaptive survey design for time changes in mixed-mode response propensities. Survey Methodology, 50(2), 435-463. https://www150.statcan.gc.ca/n1/pub/12-001-x/2024002/article/00005-eng.pdf [Portal]
2023
Scholarly publications
Alting van Geusau, V. V. P., de Jongh, A., Nuijs, M. D., Brouwers, T. C., Moerbeek, M., & Matthijssen, S. J. M. A. (2023). The effectiveness, efficiency, and acceptability of EMDR vs. EMDR 2.0 vs. the Flash technique in the treatment of patients with PTSD: study protocol for the ENHANCE randomized controlled trial. Frontiers in Psychiatry, 14, Article 1278052. [DOI] [Repository]
Moerbeek, M. (2023). Optimal allocation of clusters in stepped wedge designs with a decaying correlation structure. PLoS One, 18(8 August), Article e0289275. [DOI] [Repository]
Wu, S., Boonstra, H.-J., Moerbeek, M., & Schouten, B. (2023). Modelling time change in survey response rates: A Bayesian approach with an application to the Dutch Health Survey. Survey Methodology, 49(1), 163-190. https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202300100010 [Repository]
Bovendeerd, B., de Jong, K., de Groot, E., Moerbeek, M., Hafkenscheid, A., & de Keijser, J. (2023). The effect of therapist characteristics on the use and outcome of systematic client feedback in outpatient mental healthcare. Clinical Psychology & Psychotherapy, 30(5), 1146-1157. [DOI] [Repository]
Kessels, R., & Moerbeek, M. (2023). A comparison of the multilevel MIMIC model to the multilevel regression and mixed ANOVA model for the estimation and testing of a cross-level interaction effect: A simulation study. Biometrical Journal, 65(5), Article 2200112. [DOI] [Repository]
Moerbeek, M. (2023). Optimal placebo-treatment comparisons in trials with an incomplete within-subject design and heterogeneous costs and variances. PLoS One, 18(4 April), Article e0283382. [DOI] [Repository]
Moerbeek, M. (2023). Optimal allocation to treatment sequences in individually randomized stepped-wedge designs with attrition. Clinical Trials, 20(3), 242-251. [DOI] [Repository]
Nijman, H., Jakobs, A., Waters, M., Osborne, N., Moerbeek, M., Herstel, A., & de Looff, P. (2023). A randomized crossover study on the physiological arousal reducing effects of music in forensic psychiatry. Psychology of Music, 51(3), 764-781. [DOI] [Repository]
Yang, S., Moerbeek, M., Taljaard, M., & Li, F. (2023). Power analysis for cluster randomized trials with continuous co-primary endpoints. Biometrics, 79(2), 1293-1305. [DOI] [Repository]
van den Heuvel, M. W. H., Bodden, D. H. M., Smit, F., Stikkelbroek, Y., Weisz, J. R., Moerbeek, M., & Engels, R. C. M. E. (2023). Relative Effectiveness of CBT-Components and Sequencing in Indicated Depression Prevention for Adolescents: A Cluster-Randomized Microtrial. Journal of Clinical Child and Adolescent Psychology, 52(4), 503-518. [DOI] [Repository]
2022
Scholarly publications
Fu, Q., Moerbeek, M., & Hoijtink, H. (2022). Sample size determination for Bayesian ANOVAs with informative hypotheses. Frontiers in Psychology, 13, Article 947768. [DOI] [Repository]
Wu, S., Schouten, B., Meijers, R., & Moerbeek, M. (2022). Data Collection Expert Prior Elicitation in Survey Design: Two Case Studies. Journal of Official Statistics, 38(2), 637-662. [DOI] [Repository]
Kwee, C. M., Baas, J. M., van der Flier, F. E., Groenink, L., Duits, P., Eikelenboom, M., van der Veen, D. C., Moerbeek, M., Batelaan, N. M., van Balkom, A. J., & Cath, D. C. (2022). Cannabidiol enhancement of exposure therapy in treatment refractory patients with social anxiety disorder and panic disorder with agoraphobia: A randomised controlled trial. European Neuropsychopharmacology, 59, 58-67. [DOI] [Repository]
Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. Psychological Methods, 28(3), 558-579. [DOI]
Moerbeek, M. (2022). Power analysis of longitudinal studies with piecewise linear growth and attrition. Behavior Research Methods, 54(6), 2939–2948. [DOI] [Repository]
Lely, J. C. G., Ter Heide, F. J. J., Moerbeek, M., Knipscheer, J. W., & Kleber, R. J. (2022). Psychopathology and resilience in older adults with Posttraumatic Stress Disorder: A randomized controlled trial comparing Narrative Exposure Therapy and Present-Centered Therapy. European Journal of Psychotraumatology, 13(1), 1-9. Article 2022277. [DOI] [Repository]
Bovendeerd, B., de Jong, K., de Groot, E., Moerbeek, M., & de Keijser, J. (2022). Enhancing the effect of psychotherapy through systematic client feedback in outpatient mental healthcare: A cluster randomized trial. Psychotherapy Research, 32(6), 710-722. [DOI] [Repository]
Schoevers, E. M., Kroesbergen, E. H., Moerbeek, M., & Leseman, P. P. M. (2022). The relation between creativity and students’ performance on different types of geometrical problems in elementary education. ZDM - Mathematics Education, 54(1), 133–147. [DOI] [Repository]
2021
Scholarly publications
Morciano, A., & Moerbeek, M. (2021). Optimal allocation to treatments in a sequential multiple assignment randomized trial. Statistical Methods in Medical Research, 30(11), 2471-2484. [DOI] [Repository]
Turner, E. L., Platt, A. C., Gallis, J. A., Tetreault, K., Easter, C., McKenzie, J. E., Nash, S., Forbes, A. B., Hemming, K., Adrion, C., Akooji, N., Bensoussane, H., Bhangu, A., Bishop, J., Bridgwood, B., Budgell, E., Caille, A., Campbell, M., Cao, S., ... Moerbeek, M. (2021). Completeness of reporting and risks of overstating impact in cluster randomised trials: a systematic review. The Lancet Global Health, 9(8), e1163-e1168. [DOI] [Repository]
Moerbeek, M. (2021). Bayesian updating: increasing sample size during the course of a study. BMC Medical Research Methodology, 21(1), 1-11. Article 137. [DOI] [Repository]
Kessels, R., Moerbeek, M., Bloemers, J., & van der Heijden, P. G. M. (2021). A multilevel structural equation model for assessing a drug effect on a patient reported outcome measure in on-demand medication data. Biometrical Journal, 63(8), 1652-1672. [DOI] [Repository]
Hemming, K., Taljaard, M., Moerbeek, M., & Forbes, A. (2021). Contamination: How much can an individually randomized trial tolerate? Statistics in Medicine, 40(14), 3329-3351. [DOI] [Repository]
Moerbeek, M. (2021). Optimal allocations for two treatment comparisons within the proportional odds cumulative logits model. PLoS One, 16(4), Article e0250119. [DOI] [Repository]
Bai, H., Leseman, P., Moerbeek, M., Kroesbergen, E., & Mulder, H. (2021). Serial Order Effect in Divergent Thinking in Five- to Six-Year-Olds: Individual Differences as Related to Executive Functions. Journal of Intelligence, 9(2), 1-26. Article 20. [DOI] [Repository]
Bai, H., Mulder, H., Moerbeek, M., Kroesbergen, E., & Leseman, P. (2021). Divergent thinking in four-year-old children: An analysis of thinking processes in performing the Alternative Uses Task. Thinking Skills and Creativity, 40, 1-16. Article 100814. [DOI] [Repository]
Jolani, S., de Ven, N. L. M. V., Safarkhani, M., & Moerbeek, M. (2021). Evaluating Methods for Dealing with Missing Outcomes in Discrete-Time Event History Analysis: A Simulation Study. Open Journal of Statistics, 11(01), 36-76. [DOI] [Repository]
Moerbeek, M. (2021). The effect of missing data on design efficiency in repeated cross-sectional multi-period two-arm parallel cluster randomized trials. Behavior Research Methods, 53(4), 1731-1745. [DOI] [Repository]
Fu, Q., Hoijtink, H., & Moerbeek, M. (2021). Sample-size determination for the Bayesian t test and Welch's test using the approximate adjusted fractional Bayes factor. Behavior Research Methods, 53, 139-152. [DOI] [Repository]
2020
Scholarly publications
Sanches, S. A., Swildens, W. E., Schaefer, B., Moerbeek, M., Feenstra, T. L., van Asselt, A. D. I., Danner, U. N., van Weeghel, J., & van Busschbach, J. T. (2020). Effectiveness of the Boston University Approach to Psychiatric Rehabilitation in Improving Social Participation in People With Severe Mental Illnesses: A Randomized Controlled Trial. Frontiers in Psychiatry, 11, 1-10. Article 571640. [DOI] [Repository]
Moerbeek, M. (2020). The cluster randomized crossover trial: The effects of attrition in the AB/BA design and how to account for it in sample size calculations. Clinical Trials, 17(4), 420-429. [DOI] [Repository]
Moerbeek, M. (2020). Optimal designs for group randomized trials and group administered treatments with outcomes at the subject and group level. Statistical Methods in Medical Research, 29(3), 797-810. [DOI] [Repository]
2019
Scholarly publications
The SW-CRT Review Group (2019). Quality of stepped-wedge trial reporting can be reliably assessed using an updated CONSORT: crowd-sourcing systematic review. Journal of Clinical Epidemiology, 107. [DOI] [Repository]
Moerbeek, M., & Schie, S. V. (2019). What are the statistical implications of treatment non-compliance in cluster randomized trials: A simulation study. Statistics in Medicine, (26), 5071-5084. [DOI] [Repository]
Mulder, H., van Ravenswaaij, H., Verhagen, J., Moerbeek, M., & Leseman, P. P. M. (2019). The process of early self-control: an observational study in two- and three-year-olds. Metacognition and Learning, 14(3), 239-264. [DOI] [Repository]
van den Heuvel, M. W. H., Bodden, D. H. M., Moerbeek, M., Smit, F., & Engels, R. C. M. E. (2019). Dismantling the relative effectiveness of core components of cognitive behavioural therapy in preventing depression in adolescents: protocol of a cluster randomized microtrial. BMC Psychiatry, 19(1), Article 200. [DOI] [Repository]
Looff, P., Noordzij, M. L., Moerbeek, M., Nijman, H., Didden, R., & Embregts, P. (2019). Changes in heart rate and skin conductance in the 30 min preceding aggressive behavior. Psychophysiology, 56(10), 1-12. Article e13420. [DOI] [Repository]
Moerbeek, M. (2019). Bayesian evaluation of informative hypotheses in cluster-randomized trials. Behavior Research Methods, 51(1), 126-137. [DOI] [Repository]
Lely, J. C. G., Knipscheer, J. W., Moerbeek, M., Ter Heide, F. J. J., Van Den Bout, J., & Kleber, R. J. (2019). Randomised controlled trial comparing narrative exposure therapy with present-centred therapy for older patients with post-traumatic stress disorder. British Journal of Psychiatry, 214(6), 369-377. [DOI] [Repository]
Bovendeerd, B., De Jong, K., Colijn, S., De Groot, E., Hafkenscheid, A., Moerbeek, M., & De Keijser, J. (2019). Systematic client feedback to brief therapy in basic mental healthcare: Study protocol for a four-centre clinical trial. BMJ Open, 9(5), Article e025701. [DOI] [Repository]
Newsom, C., Stroebe, M. S., Schut, H., Wilson, S., Birrell, J., Moerbeek, M., & Eisma, M. C. (2019). Community-based counseling reaches and helps bereaved people living in low-income households. Psychotherapy Research, 29(4), 479-491. [DOI] [Repository]
2018
Scholarly publications
Moerbeek, M. (2018). Cost-efficient designs for three-arm trials with treatment delivered by health professionals: Sample sizes for a combination of nested and crossed designs. Clinical Trials, 15(2), 169-177. [DOI] [Repository]
Moerbeek, M., & Safarkhani, M. (2018). The Design of Cluster Randomized Trials With Random Cross-Classifications. Journal of Educational and Behavioral Statistics, 43(2), 159-181. [DOI] [Repository]
Oudman, S., van de Pol, J., Bakker, A., Moerbeek, M., & van Gog, T. (2018). Effects of different cue types on the accuracy of primary school teachers’ judgments of students’ mathematical understanding. Teaching and Teacher Education, 76, 214-226. [DOI] [Repository]
Hox, J. J. C. M., Moerbeek, M., & van de Schoot, R. (2018). Multilevel analysis: Techniques and Applications. (3 ed.) (Quantitative Methodology Series). Routledge.
2017
Scholarly publications
Newsom, C., Schut, H., Stroebe, M. S., Wilson, S., Birrell, J., Moerbeek, M., & Eisma, M. C. (2017). Effectiveness of bereavement counselling through a community-based organization: A naturalistic, controlled trial. Clinical Psychology & Psychotherapy, 24(6), 1512-1523. [DOI] [Repository]
Safarkhani, M., & Moerbeek, M. (2017). A Comparison of Within-Subjects and Between-Subjects Designs in Studies with Discrete-Time Survival Outcomes. Open Journal of Statistics, 7(7), 305-322. [DOI] [Repository]
2016
Scholarly publications
Moerbeek, M., & van Schie, S. (2016). How large are the consequences of covariate imbalance in cluster randomized trials: a simulation study with a continuous outcome and a binary covariate at the cluster level. BMC Medical Research Methodology [E], 16(1), Article 79. [DOI] [Repository]
Safarkhani, M., & Moerbeek, M. (2016). D-optimal Designs for a Continuous Predictor in Longitudinal Trials with Discrete-Time Survival Endpoints. Statistica Neerlandica, 70(2), 146-171. [DOI] [Repository]
2015
Scholarly publications
Moerbeek, M., & van der Schoot, R. (2015). Editorial. VI European Congress of Methodology. Methodology, 11(4), 117.
Wynants, L., Bouwmeester, W., Moerbeek, M., Timmerman, D., van Huffel, S., Van Calster, B., & Vergouwe, Y. (2015). A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data. Journal of Clinical Epidemiology, 68(12), 1406-1414. [DOI] [Repository]
Moerbeek, M., & van de Schoot, A. G. J. (2015). VI European Congress of Methodology. Methodology, 11(4), 117-118. [DOI] [Repository]
Moerbeek, M., & Wong, W. K. (2015). Optimal treatment allocation for placebo-treatment comparisons in trials with discrete-time survival endpoints. Statistics in Medicine, 34(27), 3490-3502. [DOI] [Repository]
Safarkhani, M., & Moerbeek, M. (2015). Optimal designs in longitudinal trials with varying treatment effects and discrete-time survival endpoints. Statistics in Medicine, 34(22), 3060-3074. [DOI] [Repository]
Haagen, J. F. G., Moerbeek, M., Olde, E., Van Der Hart, O., & Kleber, R. J. (2015). PTSD after childbirth: A predictive ethological model for symptom development. Journal of Affective Disorders, 185, 135-143. Article 7555. [DOI] [Repository]
Other output
Moerbeek, M. (2015). SPA-ML. A software package for power analysis of trials with mulitlevel data. Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University. To be found at tinyurl.com/spaml. Software
Moerbeek, M. (2015). Statistical power analysis of trials with multilevel data. Paper presented at 36th Annual Conference of the International Society for Clinical Biostatistics, Utrecht, Netherlands.
2014
Scholarly publications
Moerbeek, M. (2014). Cost calculations and sample size issues of stepped-wedge vs CRTs and the optimal level of randomization. In Cluster randomized trials, stepped-wedge randomized trials: the ultimate form of pragmatic trials?
van Schie, S., & Moerbeek, M. (2014). Re-estimating sample size in cluster randomized trials with active recruitment within clusters. Statistics in Medicine, 33(19), 3253-3268. [DOI]
Moerbeek, M. (2014). Sufficient Sample Sizes for Discrete-Time Survival Analysis Mixture Models. Structural Equation Modeling, 21(1), 63-67. [DOI]
Safarkhani, M., & Moerbeek, M. (2014). The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints. Computational Statistics and Data Analysis, 75, 217-226. [DOI] [Repository]
Safarkhani, M., Jolani, S., & Moerbeek, M. (2014). Optimal number of accrual groups and accrual group sizes in longitudinal trials with discrete-time survival endpoints. Statistica Neerlandica, 68(1), 43-60. [DOI]
Hox, J. J., Moerbeek, M., Kluytmans, A., & van de Schoot, R. (2014). Analyzing indirect effects in cluster randomized trials: The effect of estimation method, number of groups and group sizes on accuracy and power. Frontiers in Psychology, 5, Article 78. [DOI] [Repository]
Moerbeek, M. (2014). Multilevel modeling in the context of growth modeling. Annals of Nutrition and Metabolism, 65(2-3), 121-128. [DOI]
Other output
Moerbeek, M. (2014). Cost calculations and sample size issues of stepped-wedge vs CRTs and the optimal level of randomization. Paper presented at Cluster randomized trials, stepped- wedge randomized trials: the ultimate form of pragmatic trials? , Tours, France.
2013
Scholarly publications
Van Breukelen, G., & Moerbeek, M. (2013). Design considerations in multilevel studies. In The SAGE Handbook of Multilevel Modeling (pp. 183-200). SAGE Publications Inc.. [DOI]
Woertman, W., de Hoop, E., Moerbeek, M., Zuideman, S. U., Gerritsen, D. L., & Teerenstra, S. (2013). Stepped wedge designs could reduce the required sample size in cluster randomized trials. Journal of Clinical Epidemiology, 66(7), 752-758. [DOI]
Breukelen, G. J. P., & Moerbeek, M. (2013). Design considerations. In M. A. Scott, J. S. Simonoff, & B. D. Marx (Eds.), The SAGE handbook of multilevel modeling (pp. 183-199). SAGE.
Moerbeek, M., & Jozwiak, K. (2013). Optimal Designs for Event History Analysis. Zeitschrift für Psychologie, 221(3), 160-173. [DOI]
Jóźwiak, K., & Moerbeek, M. (2013). Optimal designs for trials with discrete-time survival endpoints. OA Epidemiology, 1(3), Article 22. [Repository]
Jozwiak, K., & Moerbeek, M. (2013). Accrual by groups in trials with discrete-time survival endpoints. Clinical Trials, 10, 32-42. [DOI]
Jozwiak, K., & Moerbeek, M. (2013). PODSE: A Computer Program for Optimal Design of Trials with Discrete-Time Survival Endpoints. Computer Methods and Programs in Biomedicine, 111(1), 115-127. [DOI]
Jozwiak, K., & Moerbeek, M. (2013). Optimal treatment allocation and study duration for trials with discrete-time survival endpoints. Journal of Statistical Planning and Inference, 143(5), 971-982. [DOI]
Safarkhani, M., & Moerbeek, M. (2013). Covariate Adjustment Strategy Increases Power in the Randomized Controlled Trial with Discrete-Time Survival Endpoints. Journal of Educational and Behavioral Statistics, 38(4), 355-380. [DOI]
2012
Scholarly publications
Jozwiak, K., & Moerbeek, M. (2012). Cost-Effective Designs for Trials with Discrete-Time Survival Endpoints. Computational Statistics and Data Analysis, 56(6), 2086-2096. [DOI]
Moerbeek, M. (2012). Sample size issues for cluster randomized trials with discrete-time survival endpoints. Methodology, 8(4), 146-158. [DOI]
Jozwiak, K., & Moerbeek, M. (2012). Power Analysis for Trials with Discrete-Time Survival Endpoints. Journal of Educational and Behavioral Statistics, 37(5), 630-654. [DOI]
de Hoop, E., Teerenstra, S., Van Gaal, B., Moerbeek, M., & Borm, G. F. (2012). The “best balance” allocation led to optimal balance in cluster-controlled trials. Journal of Clinical Epidemiology, 65(2), 132-137. [DOI]
2011
Scholarly publications
Rietbergen, C., & Moerbeek, M. (2011). The design of cluster randomized crossover trials. Journal of Educational and Behavioral Statistics, 36(4), 474-490. [DOI]
Korendijk, E. J. H., Hox, J., & Moerbeek, M. (2011). Robustness of parameter and standard error estimates against ignoring a contextual effect of a subject level covariate in cluster randomized trials. Behavior Research Methods, 43, 1003-1013. [DOI] [Repository]
Moerbeek, M. (2011). The effects of the number of cohorts, degree of overlap among cohorts and frequency of observation on power in accelerated longitudinal designs. Methodology, 7(1), 11-24. [DOI]
2010
Scholarly publications
Korendijk, E. J. H., Moerbeek, M., & Maas, C. J. M. (2010). The Robustness of Designs for Trials With Nested Data Against Incorrect Initial Intracluster Correlation Coefficent Estimates. Journal of Educational and Behavioral Statistics, 35(5), 566-585. [DOI]
van Middendorp, H., Lumley, M. A., Moerbeek, M., Jacobs, J. W. G., Bijlsma, J. W. J., & Geenen, R. (2010). Effects of anger and anger regulation styles on pain in daily life of women with fibromyalgia: a diary study. European Journal of Pain, 14(2), 176-182. [DOI]
Moerbeek, M. (2010). Het hoe en waarom van statistische power analyses. STAtOR, 10(1), 17-21.
Moerbeek, M., & Teerenstra, S. (2010). Optimal designs in multilevel experiments. In J. K. Roberts, & J. J. Hox (Eds.), The Handbook of Advanced Multilevel Analysis (pp. 257-281). Routledge.
de Jong, K. A., Moerbeek, M., & van der Leeden, R. (2010). A priori power analysis in longitudinal three-level multilevel models:An example with therapist effects. Psychotherapy Research, 20(3), 273-284. [DOI]
Professional publications
Moerbeek, M. (2010). Onderzoeksmasters toegepaste statistiek. STAtOR, 11(3), 9-12.
2009
Scholarly publications
Tusch, C., Wierds, R., Moerbeek, M., Ames, S. L., Grenard, J. L., Sussman, S., & Stacy, A. W. (2009). The influence of Motivational Interviewing on explicit and implicit alcohol-related cognition and alcohol use in at-risk adolescents. Psychology of Addictive Behaviors, 23(1), 146-151.
2008
Scholarly publications
Moerbeek, M., Van Breukelen, G. J. P., & Berger, M. P. F. (2008). Optimal designs for multilevel studies. In De Leeuw, J., & Meijer, E. (Eds.), Handbook of quantitative multilevel analysis (pp. 177-205). Springer.
Moerbeek, M., & Wong, W. K. (2008). Sample size formulae for trials comparing group and individual treatments in a multilevel model. Statistics in Medicine, 27, 2850-2864.
Korendijk, E., Maas, C. J. M., Moerbeek, M., & Van der Heijden, P. G. M. (2008). The influence of misspecification of the heteroscedasticity on multilevel regression parameters and standard errors. Methodology, 4, 67-72. [Repository]
Moerbeek, M. (2008). Powerful and cost-efficient designs for longitudinal intervention studies with two treatment groups. Journal of Educational and Behavioral Statistics, 33, 41-61.
Teerenstra, S., Moerbeek, M., Van Achterberg, T., Pelzer, B. J., & Borm, G. F. (2008). Sample size calculations for 3-level cluster randomized trials. Clinical Trials, 5, 486-495.
2007
Scholarly publications
Tusch, C., Wiers, R. W., Theunissen, N., van den Bosch, J., Opdenacker, J., van Empelen, P., Moerbeek, M., & Feron, F. M. J. (2007). A randomized clinical trial of a targeted intervention to moderate alcohol use and alcohol-related problems in adolescents at risk for alcoholism. Pharmacology, Biochemistry and Behavior, 86, 368-376.
Teerenstra, S., Moerbeek, M., Melis, R. J. F., & Borm, G. F. (2007). A comparison of methods to analyse continuous data from pseudo cluster randomized trials. Statistics in Medicine, 26, 4100-4115.
2006
Scholarly publications
Moerbeek, M. (2006). Cluster randomized trials: design and analysis. In Pham (Ed.), Springer handbook of engineering statistics (pp. 705-718). Springer.
Moerbeek, M. (2006). Power and money in cluster randomized trials: when is it worth measuring a covariate? Statistics in Medicine, 25(15), 2607-2617.
2005
Scholarly publications
Visser-van Balen, J., Geenen, R., Moerbeek, M., Stroop, R., Kamp, G. A., Huisman, J., Wit, J. M., & Sinnema, G. (2005). Psychosocial functioning of adolescents with idiopathic short stature or persistent short stature born small for gestational age during three years of combined growth hormone and gonadotropin-releasing hormone agonist treatment. Hormone Research, 64, 77-87. [Repository]
Moerbeek, M. (2005). Randomization of clusters versus randomization of persons within clusters: which is preferable? The American Statistician, 59(1), 72-78. [Repository]
Slob, W., Moerbeek, M., Rauniomaa, E., & Piersma, A. H. (2005). A statistical evaluation of toxicity study designs for the estimation of the benchmark dose in continuous endpoints. Toxicological Sciences, 84, 167-185. [Repository]
Moerbeek, M., & Maas, C. J. M. (2005). Optimal experimental designs for multilevel logistic models with two binary predictors. Communications in statistics. Part A, theory and methods, 34(5), 1151-1167.
Moerbeek, M. (2005). Robustness properties of A-, D-, and E-optimal designs for polynomial growth models with autocorrelated errors. Computational Statistics and Data Analysis, 48(4), 765-778. [Repository]
2004
Scholarly publications
Moerbeek, M. (2004). The consequence of ignoring a level of nesting in multilevel analysis. Multivariate Behavioral Research, 129-149.
Moerbeek, M. (2004). The use of internal pilot studies to derive powerful and cost-efficient designs for studies with nested data. In C. van Dijkum, J. Blasius, H. Kleijer, & B. van Hilten (Eds.), Recent Developments and Applications in Social Research Methodology
Moerbeek, M., Piersma, A. H., & Slob, W. (2004). A comparison of three methods for calculating confidence intervals for the benchmark dose. Risk Analysis, 24, 31-40.
Other output
Moerbeek, M. (2004). The use of internal pilot studies to derive powerful and cost-efficient designs for studies with nested data. Paper presented at Proceedings of the American Statistical Association, Social Section [CD-ROM], Canada, Toronto.
2003
Scholarly publications
Moerbeek, M., Breukelen, G. J. P., Ausems, M., & Berger, M. P. F. (2003). Optimal sample sizes in experimental designs with individuals nested within clusters. Understanding Statistics, 2(3), 151-175. [Repository]
Geus, T. J., Oude Groen, J., Van der Heijden, P. G. M., & Moerbeek, M. (2003). Zeg nou zelf. Tevredenheid van medewerkers binnen de RO 1998-2002. Prisma.
Moerbeek, M., Breukelen, G. J. P., & Berger, M. P. F. (2003). A comparison of estimation methods for multilevel logistic models. Computational Statistics, 18(1), 19-37.
Moerbeek, M., Breukelen, G. J. P., & Berger, M. P. F. (2003). A comparison between traditional methods and multilevel regression for the analysis of multicenter intervention studies. Journal of Clinical Epidemiology, 56(4), 341-350. [Repository]
Other output
Moerbeek, M. (2003). The consequence of ignoring a level of nesting in multilevel analysis. Paper presented at 18th International Workshop on Statistical Modelling, Leuven.
2002
Scholarly publications
Moerbeek, M., & Wong, W. K. (2002). Multiple-objective optimal designs for the hierarchical linear model. Journal of Official Statistics, 18, 291-303. [Repository]
Moerbeek, M. (2002). Statisticians of the centuries, C.C. Heyde and E. Seneta (eds). Kwantitatieve Methoden.
Other output
Moerbeek, M., & Wong, W. K. (2002). Multiple-objective optimal designs for the hierarchical linear model. Poster session presented at Design and Analysis of Experiments 1 (conference), Vancouver, Canada.
2001
Scholarly publications
Moerbeek, M., Breukelen, G. J. P., & Berger, M. P. F. (2001). Optimal experimental designs for multilevel logistic models. Journal of the Royal Statistical Society. Series D, The statistician, 50(1), 17-30.
Moerbeek, M., Van Breukelen, G. J. P., & Berger, M. P. F. (2001). A review of four methods for the analysis of multilevel experimental data. Kwantitatieve Methoden, 22, 51-73.
Moerbeek, M., Breukelen, G. J. P., & Berger, M. P. F. (2001). Optimal experimental designs for multilevel models with covariates. Communications in statistics. Part A, theory and methods, 30(12), 2683-2697.
2000
Scholarly publications
Moerbeek, M., Breukelen, G. J. P., & Berger, M. P. F. (2000). Design issues for experiments in multilevel populations. Journal of Educational and Behavioral Statistics, 25(4), 271-284. [Repository]
1999
Scholarly publications
Berger, M. P. F., & Moerbeek, M. (1999). Bookreview Introduction to design and analysis of experiments, Kwantitatieve Methoden, 20, 165-166.
1997
Scholarly publications
Moerbeek, M., & van den Bosch, F. (1997). Insect-pathogen dynamics: Stage-specific susceptibility and insect density dependence. Mathematical Biosciences, 141(2), 115-148. [Repository]