Dr. Lubna Amro
Mail: lubna.amrotu-dortmundde
Chair of Mathematical Statistics and Industrial Applications
Phone: 0231 / 755 - 4993
Martin-Schmeißer-Weg 13 | Room 206

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Mail: lubna.amrotu-dortmundde
Chair of Mathematical Statistics and Industrial Applications
Phone: 0231 / 755 - 4993
Martin-Schmeißer-Weg 13 | Room 206

Lubna Amro earned a Bachelor's degree in applied mathematics and a Master's degree in mathematics between 2006 and 2013. Lubna Amro worked as a lecturer of mathematics and statistics at Al-Quds Open University and Palestine Polytechnic University. She also worked as a statistical consultant for private and institutional clients. Lubna Amro received a DAAD scholarship in October 2015 and was a doctoral student at Ulm University until March 2019, when she moved to the Technical University of Dortmund to work as a research assistant and doctoral student at the institute of mathematical statistics and applications in industry. She is a postdoctoral researcher at TU Dortmund University, Chair of Mathematical Statistics and Applications in Industry since April 2022.
MissPair: available on Github (https://github.com/lubnaamro/MissPair)
Amro, L., Pauly, M., & Ramosaj, B. (2021). Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm. Biometrical Journal, 1–17. https://doi.org/10.1002/bimj.202000051
Amro, L., Konietschke, F., & Pauly, M. (2021). Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach.
Ramosaj, B., Amro, L., & Pauly, M. (2020). A cautionary tale on using imputation methods for inference in matched-pairs design. Bioinformatics, 36(10), 3099–3106. https://doi.org/10.1093/bioinformatics/btaa082
Amro, L., Konietschke, F., & Pauly, M. (2019). Multiplication-combination tests for incomplete paired data. Statistics in Medicine, 38(17), 3243–3255. https://doi.org/10.1002/sim.8178
Amro, L., & Pauly, M. (2017). Permuting incomplete paired data: a novel exact and asymptotic correct randomization test. Journal of Statistical Computation and Simulation, 87(6), 1148–1159. https://doi.org/10.1080/00949655.2016.1249871
Amro, L., & Samuh, M. H. (2017). More powerful permutation test based on multistage ranked set sampling. Communications in Statistics-Simulation and Computation, 46(7), 5271–5284. https://doi.org/10.1080/03610918.2016.1152364