Will Hulme

Hello @lbakerIsazi, the `lift_*()` functions from the `purrr` package can help in this situation. For instance: lapply(c(1,2,3), function(y) purrr::lift_dl(hmmNorm)(mean = y, sd = 0.5)) will behave as you need. `lift_dl(hmmNorm)`...

Regarding measures. There are currently two pages covering measures in the documentation. * the new measures in ehrQL page, filed under ehrQL: https://docs.opensafely.org/ehrql/explanation/measures/ * the old measures in cohort extractor...

**no action needed** * The links from the data source pages are fine. * The `study-def-flowcharts.md` and `study-def-tricks.md` are now under legacy so can stay as is. **non-urgent action needed**...

In terms of what we want to recommend for suppression, I think we focus too much on redaction of counts and should focus instead on rounding of counts. As discussed...

I've moved the info from the [server-instructions repo](https://github.com/opensafely/server-instructions) to this page in the documentation https://github.com/opensafely/documentation/blob/master/docs/releasing-files.md, viewable here: https://docs.opensafely.org/en/latest/releasing-files/.

By extracting analytical choices out of an R or stata script and into the pipeline, we're meddling with users' code writing and organisation preferences. Not necessarily in a bad way,...

Cool. Of course by "meddling" I really meant "providing a larger menu of analytical options" 3 is a simple approach that's easy to implement and document