That's amazing - you made my day with that statement.
I left neuroscience for the software world back in 2012, so I don't have a lot of data points since then. I know between 2009 and 2012 the field went from ~50% of papers doing the right statistical corrections to about ~90%, which is a huge step in the right direction. I hope those numbers are even better today.
The expense of MRI time means that studies include far fewer subjects than they might want/need. My opinion is that there are still significant challenges that go beyond correction for multiple comparisons, like data peeking and low-power experimental designs. I think that we should move to a mindset where we need replication and convergent evidence for major claims. Not a single study with 18 college freshman participants.
That's amazing - you made my day with that statement.
I left neuroscience for the software world back in 2012, so I don't have a lot of data points since then. I know between 2009 and 2012 the field went from ~50% of papers doing the right statistical corrections to about ~90%, which is a huge step in the right direction. I hope those numbers are even better today.
The expense of MRI time means that studies include far fewer subjects than they might want/need. My opinion is that there are still significant challenges that go beyond correction for multiple comparisons, like data peeking and low-power experimental designs. I think that we should move to a mindset where we need replication and convergent evidence for major claims. Not a single study with 18 college freshman participants.