DI Michael Kammer, PhD
Center for Medical Statistics, Informatics and Intelligent Systems (Institute of Clinical Biometrics), Department of Medicine III (Division of Nephrology and Dialysis)
Position: Research Associate (Postdoc)
ORCID: 0000-0003-4821-9928
T +43 1 40400-66810
michael.kammer@meduniwien.ac.at
Keywords
Biostatistics; Models, Statistical; Prognosis; Regression Analysis
Research group(s)
- Prognosis research
Research Area: Prognosis research in medicine aims at understanding and improving future outcomes of individuals. We work on aspects of developing, translating and applying statistical methodology in prognosis research. Co-leaders: Daniela Dunkler and Georg Heinze
Members:
Selected publications
- Kainz, A., Kammer, M. et al. (2021) ‘Waiting Time for Second Kidney Transplantation and Mortality’, Clinical Journal of the American Society of Nephrology, 17(1), pp. 90–97. doi:10.2215/cjn.07620621.
- Dörr, K., Kammer, M. et al. (2021) ‘Randomized Trial of Etelcalcetide for Cardiac Hypertrophy in Hemodialysis’, Circulation Research, 128(11), pp. 1616–1625. doi:10.1161/circresaha.120.318556.
- Kammer, M. et al. (2019) ‘Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes’, Kidney International, 96(6), pp. 1381–1388. doi:10.1016/j.kint.2019.07.025.
- Heinzel, A., Kammer, M. et al. (2018) ‘Validation of Plasma Biomarker Candidates for the Prediction of eGFR Decline in Patients With Type 2 Diabetes’, Diabetes Care, 41(9), pp. 1947–1954. doi:10.2337/dc18-0532.
- Reindl-Schwaighofer, R. et al. (2019) ‘Contribution of non-HLA incompatibility between donor and recipient to kidney allograft survival: genome-wide analysis in a prospective cohort’, The Lancet, 393(10174), pp. 910–917. doi:10.1016/s0140-6736(18)32473-5.