2 votes
Accepted

How to check confounding and mediation in large dataset?

The size of the dataset only helps a little. The only way I know to check confounding is to convene a large number of experts in the subject matter area and in operations and procedures related to ...
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2 votes

Does the $R^2$ depend on sample size?

It seems that you are trying to describe what is known as the "Adjusted R-squared", which indeed depends on the number of observations n and the number of model parameters p: $$R^2 = 1- \...
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1 vote

Find a linear scale factor and offset that minimizes total variance between two observed data sets

You could consider your two datasets $D_1, D_2$ as samples from two different probability density functions (pdfs) $p_1, p_2$, resp. And then the question is how to transform $p_1$ to obtain some new ...
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1 vote

Permutation testing: Which variable should be shuffled?

With respect to a simple correlation between a single X and a single Y, you could shuffle either. That said, the p-value isn't "how often the resulting correlation coefficient exceeds the ...
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