dr. Mirjam Moerbeek
M.Moerbeek@uu.nl
Gegenereerd op 2017-11-21 20:38:03


Profile

Mirjam Moerbeek is an associate professor at Utrecht University, the Netherlands. She obtained her master degree in biometrics from Wageningen Agricultural University (1996, cum laude) and her PhD in applied statistics from Maastricht University (2000). She has received prestigious research grants from the Netherlands’ Society for Scientific Research (NWO) as well as grants to hire PhD students. Her research interests are statistical power analysis and optimal experimental design, especially for hierarchical and survival data. Her research has been published in over fifty international peer-reviewed journal papers, four book chapters, one book, many non-reviewed publications and (invited) conference presentations. She was involved in organizing a colloquium and master class on Cost Efficient and Optimal Designs for the Royal Netherlands Academy of Arts and Sciences (KNAW), was chair of the local organization committee of the VI European Congres of Methodology and is the joint organizer of the biennial International Conference on Multilevel Analysis.

 

Strategic themes / Focus areas
Scientific expertise
Power analysis
Optimal design theory
Trial design and power analysis
Skills
Scientific text editing in Latex
Software for multilevel analysis: MLwiN, Mplus, HLM
Software for structural equation modelling: AMOS and Mplus

My book "Power analysis of trials with multilevel data". Coauthor: Steven Teerenstra.

My book "Multilevel Analysis Techniques and Applications, Third Edition". Coauthors: Joop Hox and Rens van de Schoot.
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Curriculum vitae Download PDF
  • 1991-1996 MSc in Biometrics (cum laude) at Wageningen Agricultural University.
  • 1996 teaching assistant at Wageningen Agricultural University, Department of Mathematics.
  • 1996-2000 PhD in statistics at Maastricht University, Department of Methodology and Statistics. Title thesis: Design and analysis of multilevel intervention studies.
  • 2000  visiting fellow at University of California at Los Angeles, Department of Biostatistics.
  • 2000-2001 postdoc at National Institute of Public Health and the Environment (RIVM).
  • 2001 assistant professor at Utrecht University, Department of Methodology and Statistics.
  • 2003 member of the Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS).
  • 2003 awarded a research grant from the Netherlands Organisation for Scientific Research (NWO) for young excellent researchers (VENI grant; 200.000 Euros). Project title: Powerful and cost-efficient designs for multilevel and longitudinal intervention studies in the social sciences.
  • 2006 awarded a grant from the Netherlands Organisation for Scientific Research (NWO) to hire a PhD student for five years (NWO-Open Competition; 200.000 Euros). Project title: Robustness issues for cluster randomized trials.
  • 2008 awarded a grant from the Netherlands Organisation for Scientific Research (NWO) for excellent researchers (VIDI grant; 600.000 Euros). Project title: Improving statistical power in studies on event occurence by using an optimal design.
  • 2009 Aawarded a grant from Nijmegen Centre for Evidence Based Practice (Radboud University Nijmegen Medical Centre) to hire a PhD student. Project title: Improved methods for studies that compare the well-being of groups (‘clusters’) of elderly when there are only few clusters.
  • 2009 associate professor at Utrecht University, Department of Methodology and Statistics.
  • 2009-now Joint organizer of the biennial International Conference on Multilevel Analysis.
  • 2011 Joint organizer of a symposium on “Cost-efficient and optimal designs for social and biomedical sciences”. This symposium is financed by the Royal Netherlands Academy of Arts and Sciences. Joint organization with prof. dr. Martijn P.F. Berger and dr. G.J.P. van Breukelen, Maastricht University.
  • 2012 Registration Biostatistician, Biometrical section, Netherlands Society for Statistics and Operations Research.
  • 2013 Academic editor PLOS-ONE.
  • 2014 Chair of the local organization committee VI European Congress of Methodology. Large-scale conference with about 350 participants. 
  • 2015 Member scientific organization committee 36th Annual conference of the International Society of Clinical Biostatistics. 
  • 2016. Member scientific organization committee VI European Congress of Methodology
  • 2016 General secretary executive committee European Association of Methodology
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All publications
  2018 - Scholarly publications
Hox, J.J.C.M., Moerbeek, M. & van de Schoot, Rens (2018). Multilevel analysis - Techniques and Applications.. (347 p.). Routledge, Taylor & Frances Group.
  2017 - Scholarly publications
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), (pp. 305-322) (18 p.).
  2016 - Scholarly publications
Safarkhani, M. & Moerbeek, M. (2016). D-optimal Designs for a Continuous Predictor in Longitudinal Trials with Discrete-Time Survival Endpoints. Statistica Neerlandica, 70 (2), (pp. 146-171).
Moerbeek, M. & Teerenstra, Steven (2016). Power analysis of trials with multilevel data. (268 p.). Boca Raton: CRC Press.
  2016 - Other output
M. Moerbeek (29.11.2016) Current developments in cluster randomised trials and stepped wedge design.
M. Moerbeek (27.07.2016) Member of programme committee
  2015 - Scholarly publications
Wynants, Laure, Bouwmeester, Walter, 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), (pp. 1406) (1414 p.).
Moerbeek, M. & van der Schoot, Rens (2015). Editorial. VI European Congress of Methodology. Methodology, 11 (4), (pp. 117) (118 p.).
Safarkhani, Maryam & Moerbeek, Mirjam (30.09.2015). Optimal designs in longitudinal trials with varying treatment effects and discrete-time survival endpoints. Statistics in Medicine, 34 (22), (pp. 3060-3074) (15 p.).
Moerbeek, Mirjam & Wong, Weng Kee (30.11.2015). Optimal treatment allocation for placebo-treatment comparisons in trials with discrete-time survival endpoints. Statistics in Medicine, 34 (27), (pp. 3490-3502) (13 p.).
Haagen, Joris F G, Moerbeek, Mirjam, Olde, Eelco, Van Der Hart, Onno & Kleber, Rolf J. (14.07.2015). PTSD after childbirth - A predictive ethological model for symptom development. Journal of Affective Disorders, 185, (pp. 135-143) (9 p.).
Moerbeek, Mirjam & Schormans, Joost (01.06.2015). The effect of discretizing survival times in randomized controlled trials. Methodology, 11 (2), (pp. 55-64) (10 p.).
  2015 - 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.
  2014 - Scholarly publications
Hox, Joop J., Moerbeek, Mirjam, Kluytmans, Anouck & van de Schoot, Rens (10.03.2014). 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 (7 p.).
Moerbeek, Mirjam (24.06.2014). Cost calculations and sample size issues of stepped-wedge vs CRTs and the optimal level of randomization. Cluster randomized trials, stepped-wedge randomized trials: the ultimate form of pragmatic trials?
Moerbeek, Mirjam (18.11.2014). Multilevel modeling in the context of growth modeling. Annals of Nutrition and Metabolism, 65 (2-3), (pp. 121-128) (8 p.).
Safarkhani, Maryam, Jolani, Shahab & Moerbeek, Mirjam (01.02.2014). Optimal number of accrual groups and accrual group sizes in longitudinal trials with discrete-time survival endpoints. Statistica Neerlandica, 68 (1), (pp. 43-60) (18 p.).
van Schie, Sander & Moerbeek, Mirjam (30.08.2014). Re-estimating sample size in cluster randomized trials with active recruitment within clusters. Statistics in Medicine, 33 (19), (pp. 3253-3268) (16 p.).
Moerbeek, Mirjam (31.01.2014). Sufficient Sample Sizes for Discrete-Time Survival Analysis Mixture Models. Structural Equation Modeling, 21 (1), (pp. 63-67) (5 p.).
Safarkhani, Maryam & Moerbeek, Mirjam (2014). The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints. Computational Statistics and Data Analysis, 75, (pp. 217-226) (10 p.).
  2013 - Scholarly publications
Jozwiak, K. & Moerbeek, M. (2013). Accrual by groups in trials with discrete-time survival endpoints. Clinical Trials, 10, (pp. 32-42) (11 p.).
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), (pp. 355-380) (26 p.).
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) (17 p.). SAGE.
Moerbeek, M. & Jozwiak, K. (2013). Optimal Designs for Event History Analysis. Zeitschrift fur Psychologie / Journal of Psychology, 221 (3), (pp. 160-173) (14 p.).
Jóźwiak, K. & Moerbeek, M. (2013). Optimal designs for trials with discrete-time survival endpoints. OA Epidemiology, 1 (3).
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, (pp. 971-982) (12 p.).
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, (pp. 115-127) (13 p.).
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), (pp. 752-758) (7 p.).
  2012 - Scholarly publications
Jozwiak, K. & Moerbeek, M. (2012). Cost-Effective Designs for Trials with Discrete-Time Survival Endpoints. Computational Statistics and Data Analysis, 56, (pp. 2086-2096) (10 p.).
Jozwiak, K. & Moerbeek, M. (2012). Power Analysis for Trials with Discrete-Time Survival Endpoints. Journal of Educational and Behavioral Statistics, 37 (5), (pp. 630-654) (24 p.).
Moerbeek, M. (2012). Sample size issues for cluster randomized trials with discrete-time survival endpoints. Methodology, 8 (4), (pp. 146-158) (13 p.).
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), (pp. 132-137) (6 p.).
  2011 - Scholarly publications
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 & Instrumentation, 43, (pp. 1003-1013) (11 p.).
Rietbergen, C. & Moerbeek, M. (2011). The design of cluster randomized crossover trials. Journal of Educational and Behavioral Statistics, 36 (4), (pp. 474-490) (17 p.).
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), (pp. 11-24) (14 p.).
  2010 - Scholarly publications
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), (pp. 273-284) (12 p.).
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, (pp. 176-182) (7 p.).
Moerbeek, M. (2010). Het hoe en waarom van statistische power analyses. STAtOR, 10 (1), (pp. 17-21) (5 p.).
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) (25 p.). Routledge.
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), (pp. 566-585) (20 p.).
  2010 - Professional publications
Moerbeek, M. (2010). Onderzoeksmasters toegepaste statistiek. STAtOR, 11 (3), (pp. 9-12) (4 p.).
  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), (pp. 146-151) (6 p.).
  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) (29 p.). Springer.
Moerbeek, M. (2008). Powerful and cost-efficient designs for longitudinal intervention studies with two treatment groups. Journal of Educational and Behavioral Statistics, 33, (pp. 41-61) (21 p.).
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, (pp. 486-495) (10 p.).
Moerbeek, M. & Wong, W.K. (2008). Sample size formulae for trials comparing group and individual treatments in a multilevel model. Statistics in Medicine, 27, (pp. 2850-2864) (15 p.).
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, (pp. 67-72) (6 p.).
  2007 - Scholarly publications
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, (pp. 4100-4115) (16 p.).
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, (pp. 368-376) (9 p.).
  2006 - Scholarly publications
Moerbeek, M. (2006). Cluster randomized trials: design and analysis. In Pham (Eds.), Springer handbook of engineering statistics (pp. 705-718) (14 p.). London: Springer.
Moerbeek, M. (2006). Power and money in cluster randomized trials: when is it worth measuring a covariate?. Statistics in Medicine, 25 (15), (pp. 2607-2617) (11 p.).
  2005 - Scholarly publications
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, (pp. 167-185) (19 p.).
Moerbeek, M. & Maas, C.J.M. (2005). Optimal experimental designs for multilevel logistic models with two binary predictors. Communications in Statistics - Theory and Methods, 34 (5), (pp. 1151-1167) (17 p.).
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, (pp. 77-87) (11 p.).
Moerbeek, M. (2005). Randomization of clusters versus randomization of persons within clusters: which is preferable?. American Statistician, 59 (1), (pp. 72-78) (7 p.).
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), (pp. 765-778) (14 p.).
  2004 - Scholarly publications
Moerbeek, M., Piersma, A.H. & Slob, W. (2004). A comparison of three methods for calculating confidence intervals for the benchmark dose. Risk Analysis, 24, (pp. 31-40) (10 p.).
Moerbeek, M. (2004). The consequence of ignoring a level of nesting in multilevel analysis. Multivariate Behavioral Research, (pp. 129-149) (21 p.).
Moerbeek, M. (17.08.2004). 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 The Netherlands, Amsterdam, Proceedings of the Sixth International Conference on Logic and Methodology.
  2003 - Scholarly publications
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), (pp. 341-350) (10 p.).
Moerbeek, M., Breukelen, G.J.P. & Berger, M.P.F. (2003). A comparison of estimation methods for multilevel logistic models. Computational Statistics, 18 (1), (pp. 19-37) (19 p.).
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), (pp. 151-175) (25 p.).
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. Amersfoort: Prisma.
  2002 - Scholarly publications
Moerbeek, M. & Wong, W.K. (2002). Multiple-objective optimal designs for the hierarchical linear model. Journal of Official Statistics, 18, (pp. 291-303) (13 p.).
Moerbeek, M. (2002). Statisticians of the centuries, C.C. Heyde and E. Seneta (eds). Kwantitatieve Methoden
  2001 - Scholarly publications
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, (pp. 51-73) (23 p.).
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), (pp. 17-30) (14 p.).
Moerbeek, M., Breukelen, G.J.P. & Berger, M.P.F. (2001). Optimal experimental designs for multilevel models with covariates. Communications in Statistics - Theory and Methods, 30 (12), (pp. 2683-2697) (15 p.).
  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), (pp. 271-284) (14 p.).
  1999 - Scholarly publications
Berger, M.P.F. & Moerbeek, M. (1999). Bookreview Introduction to design and analysis of experiments,. Kwantitatieve Methoden, 20, (pp. 165-166) (2 p.).
  1997 - Scholarly publications
Moerbeek, M. & van den Bosch, Frank (1997). Insect-pathogen dynamics: Stage-specific susceptibility and insect density dependence. Mathematical Biosciences, 141 (2), (pp. 115-148) (34 p.).
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Gegenereerd op 2017-11-21 20:38:03

Mirjam Moerbeek is an expert in optimal design and statistical power analysis, in particular for trials with multilevel data or survival endpoints in discrete time.

She has written the book "Statistical power analysis of trials with multilevel data", of which Steven Teerenstra from Radboud University Nijmegen is a coauthor. This book was published in 2016 by CRC press and is accompanied by a freeware computer program to perform the power analyses. This program can be downloaded from tinyurl.com/spaml.

 

The contents of the book are as follows:

  1. Introduction
  2. Multilevel statistical models
  3. Concepts of statistical power analysis
  4. Cluster randomized trials
  5. Improving statistical power in cluster randomized trials
  6. Multisite trials
  7. Pseudo cluster randomized trials
  8. Individually randomized group treatment trials
  9. Longitudinal intervention studies
  10. Extensions: three levels of nesting and factorial designs
  11. The problem of unknown intraclass correlation coefficients
  12. Computer software for power calculations
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- Methodological and statistical aspects of social science research (elective course academic master programmes).

- Multilevel analysis (postgraduate and research master level)

- Multivariate statistics (research master)

 

Links

International research master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences

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Additional functions and activities

Academic Editor PLOS-ONE

General secretary executive committee European Association of Methodology

Gegenereerd op 2017-11-21 20:38:03
Full name
dr. M. Moerbeek Contact details
Sjoerd Groenmangebouw

Padualaan 14
Room C.107
3584 CH  UTRECHT
The Netherlands


Phone number (direct) +31 30 253 1450
Phone number (department) +31 30 253 4438
Mobile phone +31 6 22 961 571
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Gegenereerd op 2017-11-21 20:38:03
Last updated 15.11.2017