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Andreas Gleiss
Andreas Gleiss, PhD

Center for Medical Statistics, Informatics and Intelligent Systems (Institute of Clinical Biometrics)
Position: Consultant

ORCID: 0000-0001-8010-7665
T +43 1 40400 - 66830



Research group(s)

Research interests

  • Clinical collaborations
  • Explained variation, reference curve estimation, zero inflation

Techniques, methods & infrastructure

Clinical collaborations: Survival analysis, mixed models, regression models

Explained variation: Schemper-Henderson measure, degrees of necessity and of sufficiency

Reference curve estimation: generalized additive models for location scale and shape (GAMLSS)

Zero inflation: one-part tests, two-part tests, left-inflated mixture model

Selected publications

  1. Gleiss, A. & Schemper, M., 2019. Quantifying degrees of necessity and of sufficiency in cause‐effect relationships with dichotomous and survival outcomes. Statistics in Medicine, 38(23), pp.4733–4748. Available at:
  2. Gleiss, A., Gnant, M. & Schemper, M., 2017. Explained variation in shared frailty models. Statistics in Medicine, 37(9), pp.1482–1490. Available at:
  3. Gleiss, A. et al., 2015. Two-group comparisons of zero-inflated intensity values: the choice of test statistic matters. Bioinformatics, 31(14), pp.2310–2317. Available at:
  4. Schalling, M., Gleiss, A., et al., 2017. Essential thrombocythemia vs. pre-fibrotic/early primary myelofibrosis: discrimination by laboratory and clinical data. Blood Cancer Journal, 7(12). Available at:
  5. Gleiss, A. et al., 2013. Austrian height and body proportion references for children aged 4 to under 19 years. Annals of Human Biology, 40(4), pp.324–332. Available at: