On the challenges of drawing conclusions from p-values just below 0.05

Why hello problematic distribution of test statistics in economics. Also, tools to help thinking about underlying models of published test-stat distributions c/o @lakens https://t.co/7dnTlWCV2K https://t.co/5L2uTKxrfL
2664 days ago
@actpredictlab @rogierK @StuartBuck1 @f2harrell @revodavid @StatGarrett No, because https://t.co/HNyInPv1xY :)
2664 days ago
@aserebrenik Lakens, D. (2015). On the challenges of drawing conclusions from p-values just below 0.05. PeerJ, 3, e1142. https://t.co/m7iSjbZAO5.
2664 days ago
@rogierK @LucioMM1 @StuartBuck1 @f2harrell @revodavid @StatGarrett I discuss this briefly somewhere in https://t.co/HNyInPv1xY
2664 days ago
@jonatanpallesen See https://t.co/HNyInPv1xY
2849 days ago
@statsepi This is completely wrong, and the author is knowingly citing very selectively. See https://t.co/7uCWBPg2z4 and https://t.co/HNyInPv1xY. The comments in this section by the author are completely unfounded.
3015 days ago
More p-values just under 0.05 threshold doesn't necessarily mean more p-hacking; could b decreasing power https://t.co/qLLHG7uk1M by @lakens
On the challenges of drawing conclusions from p-values just below 0.05 [PeerJ] @lakens https://t.co/HhSUg5RJHw
RT @lakens: @briandavidearp I discuss this paper, quite critically, here: https://t.co/HNyInPv1xY
3018 days ago
RT @lakens: @briandavidearp I discuss this paper, quite critically, here: https://t.co/HNyInPv1xY
3018 days ago
@hansijzerman See https://t.co/HNyInPv1xY
3018 days ago
@briandavidearp I discuss this paper, quite critically, here: https://t.co/HNyInPv1xY
3129 days ago
@timothycbates @uri_sohn For data on this, see https://t.co/HNyInPv1xY - marginally significant results more likely published than ns, but decreasing over years.