This is the full list of posts. Compared with the Notes section — structured write-ups on a single topic — the posts here usually take one thing from start to finish: a problem I ran into in clinic, a pitfall in doing research, or how I turned a recurring annoyance into a tool.
![[EBM] Should I calculate study power when results are not significant? Misleading post-hoc power](https://drpwchen.com/images/795bfa347c99-494EE684-EEE1-4B04-966C-73A1572186E4.jpeg)
[EBM] Should I calculate study power when results are not significant? Misleading post-hoc power
Note When reading papers or doing research and hitting a non-significant result, I always remember what my statistics teacher said: “Not significant means we cannot reject the null hypothesis, not that the two are the same.” We’ve also learned that the ability to detect a difference between the two is called statistical power. So, if we calculate the power of the data, and if this “ability to detect a difference” is greater than 80%, but we still get a non-significant result, does that mean the two groups of data are really similar? ...






