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Michael Kammer
DI Michael Kammer, PhD

Center for Medical Data Science (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


Biostatistics; Models, Statistical; Prognosis; Regression Analysis

Research group(s)

Selected publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.