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A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs

Hahn, S. & Salmaso, L. (2017). A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs. Statistical papers, Advance online publication, 58(1), 123-146.

• DOI10.1007/s00362-015-0690-2

Permutation Tests for Inference on Causal Effects: A Simulation Study Comparing a New Approach to Existing Methods

Hahn, S. (2015). Permutation Tests for Inference on Causal Effects: A Simulation Study Comparing a New Approach to Existing Methods. Jena: Dissertation, Friedrich-Schiller-Universität Jena.

A comparison of efficient permutation tests for unbalanced ANOVA in two by two designs and their behavior under heteroscedasticity

Hahn, S., Konietschke, F. & Salmaso, L. (2014). A comparison of efficient permutation tests for unbalanced ANOVA in two by two designs and their behavior under heteroscedasticity. In: Melas, V. B. (Hrsg.), Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics (S. 257-269) (Band 114). New York: Springer.

ANOVA and alternatives for causal inferences

Hahn, S. (2014). ANOVA and alternatives for causal inferences. In: Spiliopoulou, M., Schmidt-Thieme, L. & Janning, R. (Hrsg.), Data Analysis, Machine Learning and Knowledge Discovery (S. 343-350). Berlin: Springer.

Identifikation der Hauptsymptome von Zwangspatienten anhand von Symptomskalen – Kriteriumsvalidität und diagnostische Genauigkeit des OCI-R

Gönner, S., Hahn, S., Leonhart, R., Ecker, W. & Limbacher, K. (2009). Identifikation der Hauptsymptome von Zwangspatienten anhand von Symptomskalen – Kriteriumsvalidität und diagnostische Genauigkeit des OCI-R. Verhaltenstherapie(19), 251-258.