Biostatistics Consulting

Online form "Request Animal Research Consulting"

To improve the quality of animal research, we offer statistical methods consultation, including advice on study design, sample size calculation, methods for data analysis and reporting. We encourage you to consult us during the planning phase of your study, so that potential improvements can be made.

We provide a maximum of an hour appointment that is free of charge for animal researchers of UZH. The free 1h-consultation is per license or per study. You can utilize our free service simply by fill in the online form "Request Animal Research Consulting".

Note that this 1h-consultation is NOT A VERIFICATION of experimental design & the planned statistical analysis of your application (new Form A, par 31). In the moment we do not have capacity for the verification.

We use and promote the free software R. We provide an interactive web app SampleSizeR to calculate sample size based on power analysis for confirmatory experimental designs.

We also offer Contractual Consulting and Contractual Data Analysis with a standardized fee, for internal UZH researchers and external researchers. Contact Bernadetta Tarigan for more information.

Resources and request for a biostatistics consulting

We provide the following resources and guidelines:

1. Planning and Sample Size Estimation
2. ANOVA Repeated Measures in Time
3. Comparing Survival Curves
4. Roadmap Statistical Methods
5. Comparing Two Means

We offer biostatistics workshops for research groups of UZH, from basic to advance topics. The workshop can be accredited as 0.5-day, 1-day or 2-days of continuous education for persons involved in animal experiments by the veterinary office of the canton of Zurich. Examples of sequential topics are:

1. Writing-up Form A: Planning and Sample Size Estimation (0.5-d);
2. Statistical Considerations for Designing a Rigorous Animal Experiment (1-d / 2-d);
3. Introduction to the Most Common Experimental Designs: Completely Randomized Designs, Block Designs, Split-Plot Designs (1-d);
4. Introduction to R (0.5-d / 1-d);
5. R & Reproducibility with R-Markdown (0.5-d / 1-d);
6. Mathematical Framework of ANOVA and Hands-On Data Analysis with R (1-d / 2-d), see verbatim testimonial (PDF, 111 KB);
7. ANOVA with Repeated Measures in Time (1-d);
8. Considering Sex as Biological Variable (SABV) in Experimental Design (0.5-d / 1-d);
9. Other tailor-made topics that your group might need (0.5-d / 1-d / 2-d).

The workshop is with a fee. Contact Bernadetta Tarigan for more information.