|English: Icon representing Bayesian statistics (Photo credit: Wikipedia)|
Happy new year to all!
I have always wondered how to effectively combine data from a previous similar clinical trial into a new trial. If this is not attempted, the wealth of information already collected will be wasted. Besides if the trials give conflicting results, the entire effort in conducting both trials is lost and you end up with only confusion. The authors here have conceived a method to effectively combine data from similar trials conducted at different times using the Bayesian method. In short, the older trial is used to generate the prior probability distribution for the analysis of the new results. The methodology has been used in Melanoma studies. (I am happy that it is from my domain). I have also experimented with Bayesian methodology before.
I give 4 peels to this idea. (Pardon me for using a grading system envisaged for a different cause!)
My Rating: 4 peels
What is peel score?
Latest posts by Bell Eapen (see all)
- Kickstart NLP with UMLS - January 15, 2020
- How to deploy an h2o ai model using OpenFaaS on Digitalocean in 2 minutes - November 13, 2019
- Deploy a fastai image classifier using OpenFaaS for serverless on DigitalOcean in 5 easy steps! - September 25, 2019