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Rene Lehmann
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2020 – today
- 2024
- [j1]Rene Lehmann
, Bodo Vogt:
Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach. Brain Informatics 11(1): 19 (2024) - [c6]Rene Lehmann
, Bodo Vogt:
Increasing normal approximation in psychometric health care data analyses using a compositional data approach. HICSS 2024: 1536-1545 - [c5]Rene Lehmann
, Bodo Vogt:
Compositional data statistics improves smart tourism data analytics: profound managerial decisions through reduced statistical bias and increased power. HICSS 2024: 1701-1710 - [c4]Rene Lehmann
, Bodo Vogt:
Shifting psychometric bipolar scales data towards the normal distribution. HICSS 2024: 3307-3316 - 2023
- [c3]Rene Lehmann
, Bodo Vogt:
Increasing the Power of Two-Sample T-tests in Health Psychology Using a Compositional Data Approach. BI 2023: 333-347 - [c2]Rene Lehmann
, Bodo Vogt:
Reconsidering Bipolar Scales Data As Compositional Data Improves Psychometric Healthcare Data Analytics. HICSS 2023: 2830-2839 - 2021
- [c1]Christian Haring, Rene Lehmann, Andrea Horbach, Torsten Zesch:
C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests. BEA@EACL 2021: 180-184
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