Randomized controlled trials or data-mining??

DocMusherDocMusher Member Posts: 333 Unicorn
edited November 2018 in Help
Hi all, my wishes for 2016!
Randomized controlled trials (RCT’s) represent the gold standard for evaluating healthcare interventions.
Is data-mining in the position to become superior to this standard???

What are the best answers for these statements?
1. Analysis of big data (collected and retrospective by nature) used for modeling (and validation) is superior to prospective RCT's based on intentionally collected data?
2. The use of control groups (RCT's) is inferior to validation techniques such as cross validation?
3. Randomization of datasets as used in RCT's  is inferior to training and testing a model?
4. Blinding (double, triple blinding) is out-dated because data-mining using big data provides a better representation of the entire population?

Interested in your replies!!!


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