Harald Heinzl
Center for Medical Statistics, Informatics and Intelligent Systems (Institute of Clinical Biometrics)
Keywords
Biostatistics; Regression Analysis; Survival Analysis
Research interests
Biostatistics in general
Techniques, methods & infrastructure
1.) External validation of statistical models
2.) Pseudo values in survival analysis
Selected publications
- Heinzl, H. & Benner, A., 2019. Three brief pieces of statistical advice for medical peer reviewers. European Journal of Clinical Investigation, 49(11). Available at: http://dx.doi.org/10.1111/eci.13171.
- Pötschger, U. et al., 2018. Assessing the effect of a partly unobserved, exogenous, binary time-dependent covariate on survival probabilities using generalised pseudo-values. BMC Medical Research Methodology, 18(1). Available at: http://dx.doi.org/10.1186/s12874-017-0430-5.
- Coghlan, J.G. et al., 2013. Evidence-based detection of pulmonary arterial hypertension in systemic sclerosis: the DETECT study. Annals of the Rheumatic Diseases, 73(7), pp.1340–1349. Available at: http://dx.doi.org/10.1136/annrheumdis-2013-203301.
- Heinzl, H., Mittlböck, M. & Edler, L., 2008. Technical uncertainty in the back-calculation of occupational exposure to dioxins. Statistics in Medicine, 27(12), pp.2214–2233. Available at: http://dx.doi.org/10.1002/sim.3074.
- Heinzl, H. & Kaider, A., 1997. Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions. Computer Methods and Programs in Biomedicine, 54(3), pp.201–208. Available at: http://dx.doi.org/10.1016/s0169-2607(97)00043-6.