- Biometrical consulting
Head: Georg Heinze
Research Area: Our biometrical consulting service supports clinical research at the Medical University of Vienna. All biostatistical aspects of study planning, preparation of study protocol, and data analysis can be discussed. See our website for details.
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
- 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: http://dx.doi.org/10.1002/sim.8331.
- Gleiss, A., Gnant, M. & Schemper, M., 2017. Explained variation in shared frailty models. Statistics in Medicine, 37(9), pp.1482–1490. Available at: http://dx.doi.org/10.1002/sim.7592.
- 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: http://dx.doi.org/10.1093/bioinformatics/btv154.
- 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: http://dx.doi.org/10.1038/s41408-017-0006-y.
- 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: http://dx.doi.org/10.3109/03014460.2013.776110.