Research output

Recent publications

van Zwet, E., Gelman, A., Greenland, S., Imbens, G., Schwab, S., & Goodman, S. N. (2024). A New Look at P Values for Randomized Clinical Trials. NEJM Evidence, 3(1), EVIDoa2300003. doi:10.1056/EVIDoa2300003

Schwab, S., & Immer, F. (2023). Prognosemodelle und künstliche Intelligenz. Schweizerische Arztezeitung. doi:10.4414/saez.2023.1266894718

Schwab, S., Sidler, D., Haidar, F., Kuhn, C., Schaub, S., Koller, M., Mellac, K., Stürzinger, U., Tischhauser, B., Binet, I., Golshayan, D., Müller, T., Elmer, A., Franscini, N., Krügel, N., Fehr, T., Immer, F., Swisstransplant Kidney Working Group (STAN), & Swiss Transplant Cohort Study. (2023). Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol. Diagnostic and Prognostic Research, 7(1), 6. doi:10.1186/s41512-022-00139-5

For more publications, see Google Scholar and Pubmed.

R Software

Hex stickers.

cochrane—Import Data from the Cochrane Database of Systematic Reviews (CDSR).

EXAM—Ex vivo allograft monitoring dashboard.

swt—Swisstransplant R package.

Reproducibility Notes

A series of commentaries highlight topics related to the production of robust, effective, and reproducible science; see also here.

Schwab, S., Janiaud, P., Dayan, M., Amrhein, V., Panczak, R., Palagi, P. M., Hemkens, L. G., Ramon, M., Rothen, N., Senn, S., Furrer, E., & Held, L. (2022). Ten simple rules for good research practice. PLoS Computational Biology, 18(6), e1010139. doi:10.1371/journal.pcbi.1010139

Schwab, S., & Held, L. (2021). Statistical programming: Small mistakes, big impacts. Significance, 18(3), 6–7. doi:10.1111/1740-9713.01522

Held, L., Pawel, S., & Schwab, S. (2020). Replication power and regression to the mean. Significance, 17(6), 10–11. doi:10.1111/1740-9713.01462

Schwab, S., & Held, L. (2020). Science after Covid-19: Faster, better, stronger? Significance, 17(4), 8–9. doi:10.1111/1740-9713.01415

Schwab, S., & Held, L. (2020). Different worlds Confirmatory versus exploratory research. Significance, 17(2), 8–9. doi:10.1111/1740-9713.01369

Held, L., & Schwab, S. (2020). Improving the reproducibility of science. Significance, 17(1), 10–11. doi:10.1111/j.1740-9713.2020.01351.x

Presentations

A complete list of slides from my presentations is available at OSF.

EXAM—Ex-vivo allograft monitoring dashboard for deceased-donor kidney transplantation (see also video)
Talk at R/Basel 2023—Roche
21/06/2023

Understanding and managing bias in medical research
Talk for the Swiss Society for Pneumology—University Hospital of Zurich
04/02/2022, 14/04/2023, 28/03/2024

An introduction to R with the Stanford Heart Transplant Data
Talk at BernR—Bern R user group
09/12/2021

From regression to machine learning in R (see also video)
Talk in the seminar Applied Machine Learning in Diagnostic Imaging—University Hospital of Zurich
15/04/2021