The rise of deep learning has caused a paradigm shift in robotics research, favoring methods that require large amounts of data. Unfortunately, it is prohibitively expensive to generate such data sets ...

We will begin with randomization tests, because they are closer in intent to more traditional parametric tests than are bootstrapping procedures. Their primary goal is to test some null hypothesis, ...

The 'Mendelian randomization' approach uses genotype as an instrumental variable to distinguish between causal and non-causal explanations of biomarker-disease associations. Classical methods for ...

We want to find the effect of an exposure on an outcome. An exposure can be analysed if instruments (i.e. GWAS hits) have been identified for it. Hence the only data required are the following for the ...

While randomization is required by regulatory bodies, it is up to the sponsor on how to conduct it. Developing a clinical trial’s effective monitoring plan can be overwhelming. The FDA acknowledges ...

I want to discuss randomization procedures for data analysis, and I want to discuss them within the context of a computer language called R. I will speak about R shortly, but first let me talk about ...