April 16, 2019
Routine Normality Testing in R
Services
Sample Size Estimation
The most prominent cost-driving factor is right at the beginning of your project. To determine how often you have to repeat your experiment, we will use up-to-date simulation studies based on recent literature or prior experimental data to detect for the earliest possible timepoint to assess your findings in alignement with your needs.
Study Design
To reduce the sample size and find insight quickly I will assist you with modern study designs, like adaptive or cross-over trials. Together we can find a randomisation procedure that suits you. Blinding is essential and a common pitfall, for which we will provide fall-back routines so your assurance rate remains high.
Analysis Planning
The Statistical Analysis Plan is at the heart of your data analysis. I will give you up-to-date assistance in the creation of the eCRF, methods to care for potential confounders to overcome the selection bias and appropiate tools to cover the multiple-comparison problem.
Data evaluation
As a trusted partners, we will carefully select the appropiate tools to programm your planned analysis. Dependend on the stage of your research project we can prepare for applications in predictive medicine or stunning high-class visualizations to impress your clients. It just depends upon your wishes.