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 ...
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- \...
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 ...
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 ...
Only top scored, non community-wiki answers of a minimum length are eligible
Related Tags
multiple-regression × 4963regression × 2277
r × 724
linear-model × 329
regression-coefficients × 328
logistic × 262
interaction × 254
multicollinearity × 233
categorical-data × 214
least-squares × 206
machine-learning × 197
correlation × 193
generalized-linear-model × 182
time-series × 174
predictive-models × 161
multivariate-analysis × 147
hypothesis-testing × 141
statistical-significance × 140
residuals × 136
linear × 129
self-study × 128
interpretation × 128
r-squared × 125
mixed-model × 122
anova × 121