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Virtual StatsPD@Waite seminar

Aug 10, 2021, 10:00 am

Presenters: Max Moldovan

Exact inference revisited and the new developments in empirical data analyses: causal inferenceĀ 

My talk will be in two parts. Firstly, I will revisit the exact inference in discrete data field, illustrating common and less common ways to exact P-values computation. Barnard’s exact test will be presented as the most efficient (i.e., having maximum power, while controlling for test size, all in a frequentist inference context). Next, I will present the methods for computing confidence limits, including the method utilising the Barnard’s exact testing procedure. Concerning the latter, while the resulted confidence limits may be (most) efficient, they might not be computationally feasible for large sample sizes and lack a nesting property, which is essential for applied inference.

As a second part of the talk, I will clarify and illustrate the main concepts of Mendelian Randomisation studies – the studies aiming at identification of a causal effect of an exposure on an outcome. This will bring us to the introduction of the OpenGWAS project (https://gwas.mrcieu.ac.uk) that, among other empirical analysis tools, enables implementation of Mendelian Randomisation based on 39,604 genome-wide association studies collided by the OpenGWAS project to date.

 

Details

Date:
Aug 10, 2021
Time:
10:00 am
Event Categories:
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