Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add File Drawer Frequency algorithm to diagnostics module #96

Open
tsalo opened this issue Jan 19, 2019 · 2 comments
Open

Add File Drawer Frequency algorithm to diagnostics module #96

tsalo opened this issue Jan 19, 2019 · 2 comments
Labels
diagnostics Issues/PRs related to the diagnostics module. enhancement New feature or request help wanted Extra attention is needed

Comments

@tsalo
Copy link
Member

tsalo commented Jan 19, 2019

The File Drawer Frequency tool estimates the number of non-significant contrasts associated with a given large meta-analytic sample. We can implement this as a diagnostic that takes in a Dataset object and returns the predicted number of null findings that one would have included in the sample if not for publication bias. This may also be useful for generating and incorporating simulated null findings into meta-analyses to determine if meta-analytic results are robust to the file drawer problem. The latter application is mostly speculation, though.

@tsalo tsalo added the enhancement New feature or request label Jan 19, 2019
@tsalo
Copy link
Member Author

tsalo commented Jun 10, 2020

Related to #34.

@tsalo tsalo added the help wanted Extra attention is needed label Nov 15, 2020
@tsalo
Copy link
Member Author

tsalo commented Jun 3, 2021

OSF Repo: https://osf.io/ayhfv/

@tsalo tsalo added the diagnostics Issues/PRs related to the diagnostics module. label Jul 22, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
diagnostics Issues/PRs related to the diagnostics module. enhancement New feature or request help wanted Extra attention is needed
Projects
None yet
Development

No branches or pull requests

1 participant