© Walailuck Böhning

Wissenschaftliche Mitarbeiterin
Fliednerstraße 21
48149 Münster



  • Statistische Methoden der Meta-Analyse


  • Holling, H., Böhning, W., Masoudi, E., and Böhning, D. (2019). Evaluation of a new version of I2 with emphasis on diagnostic problems. Communications in Statistics - Simulation and Computation. DOI: 10.1080/03610918.2018.1489553.
  • Holling, H., Böhning, W., and Böhning, D. (2015). The Covariate-Adjusted Frequency Plot for the Rasch Poisson Counts Model. The Thailand Statistician 13, 67–78.
  • Charoensawat, S., Böhning, W., Böhning, D., Holling, H. (2014). Meta-analysis and meta-modelling for diagnostic problems. BMC Medical Research Methodology 14:56.
  • Holling, H., Böhning, W.,, Böhning, D. , and Formann, A. (2013). The Covariate-Adjusted Frequency Plot. DOI: 10.1177/0962280212473386.
  • Holling, H., Böhning, W., and Böhning, D. (2012). Likelihood based clustering of meta-analytic SROC curves. Psychometrika 77, 106-126.
  • Holling, H., Böhning, W., and Böhning, D. (2012). Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family. Statistical Modelling – an International Journal 12, 347-375.
  • Böhning, D., Böhning, W. and Holling, H. (2008): Revisiting
  • Youden’s index as a useful measure of the misclassification error in meta-analysis of diagnostic studies. Statistical Methods in Medical Research 17, 543 – 554.
  • Holling, H., Böhning, D. and Böhning, W. (2007). Meta-Analysis of Binary Data Based Upon Dichotomized Criteria Zeitschrift für Psychologie / Journal of Psychology 215, 122 -131.
  • Viwatwongkasem, C. & Böhning, W. (2003): A Comparison of Risk Difference Estimators in Multi-Center Studies under Baseline Heterogeneity. Computational Statistics and Data Analysis 41, 631-644.


  • Böhning, W., Böhning, D. & Holling, H. Count Outcome Meta-Analysis with Mixed Arm Information. DAGSTAT Konferenz, München 20. März 2019.