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Detail

Michael Kammer
DI Michael Kammer, PhD

Center for Medical Data Science (Institute of Clinical Biometrics), Department of Medicine III (Clinical 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; Kidney Transplantation; Models, Statistical; Prognosis; Regression Analysis; Reproducibility of Results; Software

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:

Research interests

    My work spans applied biostatistics and methodological research. On the applied side, I provide state-of-the-art statistical expertise in collaborations with clinicians with a focus on kidney transplantation. Here my contributions cover prognosis and causal inference, but I am also involved in data curation and support the design and conduct of clinical trials.

    On the methods side, my interests include prognosis research methodology and meta-scientific questions. Current projects examine how analytical decisions introduce variation in scientific results, and I contribute to developing a framework for evaluating the trustworthiness of novel biostatistical methods. I maintain open-source software supporting simulation studies, and I serve as Reproducibility Editor at the Biometrical Journal, promoting Open Science principles.

Selected publications

  1. Heinze, G., Boulesteix, A.L., Kammer, M. et al. (2023) “Phases of methodological research in biostatistics—Building the evidence base for new methods,” Biometrical Journal, 66(1). Available at: https://doi.org/10.1002/bimj.202200222.
  2. Kammer, M. et al. (2022) “Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation study,” BMC Medical Research Methodology, 22(1). Available at: https://doi.org/10.1186/s12874-022-01681-y.
  3. Kainz, A., Kammer, M. et al. (2022) “Waiting Time for Second Kidney Transplantation and Mortality,” Clinical Journal of the American Society of Nephrology, 17(1), pp. 90–97. Available at: https://doi.org/10.2215/cjn.07620621.
  4. 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. Available at: https://doi.org/10.1016/j.kint.2019.07.025.
  5. Dörr, K., Kammer, M. et al. (2021) “Randomized Trial of Etelcalcetide for Cardiac Hypertrophy in Hemodialysis,” Circulation Research, 128(11), pp. 1616–1625. Available at: https://doi.org/10.1161/circresaha.120.318556.