Perfect example of doing it right from @The_Gilp lab - saw an effect in males but not females, and followed up with more experiments in females to figure out why

@doc_becca Some would say critical!!!!!

@nanopharmNC Indeed!

@doc_becca I’d say it’s *more* important when it doesn’t work the same in both.

@HCCvPDAC Agreed!

@doc_becca 💯it still matters if something had no effect !! and if sexes are different, there's some key biology going on!

@grantsfacilitat Exactly!

@doc_becca And here I thought knowing that sometimes the more interesting or important data is in what didn't happen was something you learned early on in bench work.

@thedapperdiner You were right!

@doc_becca Also please show sex-disaggregated data (in supplemental material) for all main analyses, even if underpowered and not a primary research question

@doc_becca @BatesPhysio So much interesting data left out but I don’t blame the applicants - I have found reviewers (in at least some standing study sections) not receptive to studies on sex differences. We need more RFAs with dedicated money and SEPs for reviews.

@doc_becca I work with fruit fly larvae. XY vs XX gene dosage compensation is the main way this comes up. But I still have a SABV explanation!

@doc_becca We do every experiments with males and females and report both. Double the work but important

@doc_becca Seems like an interesting topic for a seminar in research methods/ethics. Do your results on one sex/age/variable matter if they can only be significant when certain levels of the variable are ignored? Same seminar can cover "we increased the N until the results were significant"

@doc_becca I'd say that sex-based differences are critical for properly analyzing the implications of the data - whether its male or female that is different matters not, there's a population difference there.

@doc_becca 🙌🙌🙌

@doc_becca This was my first study using both males and females and my female data is absolutely different from the males and I *will* be showing that when we publish.