Good research practices are of great importance for early-career researchers to foster rigorous research and tackle issues related to reproducibility. In this advanced course, relevant topics are covered such as reproducibility and replicability in experiments, reporting guidelines, writing analysis plans, and best practices in small sample research. We will provide solutions to support daily research practice, with two workshop sessions on computational notebooks and pitfalls in statistical significance testing. We will also provide recommendations to align reproducibility efficiently with a scientific career. For further information on reproducibility, visit: www.crs.uzh.ch.
At the end of the course, participants will know:
Dr. Eva Furrer, Prof. Dr. Leonhard Held & Dr. Simon Schwab, Center for Reproducible Science (CRS), Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich.
This course is primarily aimed at PhD candidates and postdoctoral researchers in the empirical sciences. Knowledge of the R programming language is an advantage. It is not required to participate in the GRP I course before participating in the GRP II course.
11 September 2020 9:00 - 17:00
21 August 2020 23:59
Y23-G-04, Irchel Campus
|Contact person||Eric Alms, Graduate Campus|
For both GRP I and GRP II, 1 ECTS will be awarded in total.