Statistik: mehr als Erbsen zählen

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M.Sc. Marie Beisemann

Statistische Methoden in den Sozialwissenschaften


Raum 715
0231 755 - 8327
0231-755 3184
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund


  • n.V.


  • Beisemann, M.*, Wartlick, O.*, & Doebler, P. (2020). Comparison of Recent Acceleration Techniques for the EM algorithm in One-and Two-Parameter Logistic IRT models. Psych, 2(4), 209-252. doi:10.3390/psych2040018 [* Geteilte Erstautorenschaft.]
  • Büscher, R., Beisemann, M., Doebler, P., Steubl, L., Domhardt, M., Cuijpers, P., ... & Sander, L. B. (2020). Effectiveness of internet-and mobile-based cognitive behavioral therapy to reduce suicidal ideation and behaviors: protocol for a systematic review and meta-analysis of individual participant data. International journal of environmental research and public health, 17(14), 5179.
  • Beisemann, M., Doebler, P., & Holling, H. (2020). Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study. Biometrical Journal. 1– 34. doi:10.1002/bimj.201900379
  • Beisemann, M., Forthmann, B., Bürkner, P. C., & Holling, H. (2019). Psychometric evaluation of an alternate scoring for the remote associates test. The Journal of Creative Behavior. doi:10.1002/jocb.394