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Michael Kammer
DI Michael Kammer

Center for Medical Statistics, Informatics and Intelligent Systems (Institute of Clinical Biometrics), Department of Medicine III (Division of Nephrology and Dialysis)
Position: PHD Student

ORCID: 0000-0003-4821-9928
T +43 1 40400-66810


Biostatistics; Models, Statistical; Prognosis; Regression Analysis

Research group(s)

Selected publications

  1. 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. Available at:
  2. 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,
  3. 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,
  4. Kyrle, P.A., Kammer, M. et al., 2016. The long-term recurrence risk of patients with unprovoked venous thromboembolism: an observational cohort study. Journal of Thrombosis and Haemostasis, 14(12), pp.2402,
  5. Haller, M.C., Kammer, M. et al., 2017. Steroid withdrawal after renal transplantation: a retrospective cohort study. BMC Medicine, 15(1). Available at: