10 votes
Accepted

What is "power cut"?

This is an interesting observation: the paragraph talks about experiments and how to analyze them if stopped early. So it's not a stretch to connect "power cut" with "statistical power&...
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  • 3,967
9 votes
Accepted

How can I fit distribution for data which "almost fits"?

The overwhelming majority of datasets do not perfectly fit any parameterised class of distributions used in probability theory. Those classes of distributions represent an infinitesimally small ...
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  • 99.5k
8 votes

How to tune `wilcox.test` in `R` to compare means instead of medians

In spite of what the linked page says (and it clearly does at the time of writing*), the Wilcoxon-Mann-Whitney test does not compare medians. If you're looking at pure-shift alternatives, it's ...
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  • 262k
4 votes

Dowhy causal inference estimates equal from two different models - why?

Those grey variables are not backdoor variables. Backdoor variables are positioned on a backdoor path between the treatment ("DRUG") and the outcome. Those grey variables don't satisfy this ...
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  • 6,193
3 votes
Accepted

Can posterior become tractable if we know p(x)?

Bayes theorem is $$ p(z|x) = \frac{p(x|z)\, p(z)}{p(x)} $$ so if you know all the components, it's just a multiplication and division. If you don't, you usually need to take the integral $$ p(x) = \...
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  • 117k
2 votes
Accepted

Ridge Regression/Lasso

First, the question of "what drives the outcome the most" is very tricky and can be poorly posed. Consult this page and its links before you proceed. Second, binary regression has inherent ...
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  • 66.2k
1 vote

Finding causality using text data

First of all, considering only treated individuals that are also in pro-Trump subreddits and only untreated people that are also in pro-Clinton subreddits will not give you a good estimation of the ...
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  • 6,193
1 vote
Accepted

Can I use a One-Sample T-Test to compare Employee Turnover for a period against an industry Benchmark?

It makes sense to use the attrition rates so you can compare them with those of other companies, which usually have a different amount of employees. The industry benchmark also makes only sense as a ...
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