Hmm. Anything seem amiss here? P-Hacking Is definitely occurring in the biomedical literature. When are we going to have the adult conversation about how universities, with their focus on numbers of publications (rather than quality), are driving this?
https://t.co/wLNmuXvOnN https://t.co/KR7S2YitZi
@arjunrajlab p < 0.05 doesn't indicate truth just like a two-fold change doesn't indicate importance. Since we often use 0.05 threshold we see effects as in the article below - would surely see the same if we settled on a threshold for "important" based on effect sizes
https://t.co/akHcbBCnjF
“P-values between .041 & .049 have increased to a greater extent than those between .051 to .059 (ratio = 3.6)” de Winter and Dodou’s findings suggest that questionable research practices have increased over the past 25 years
Link: https://t.co/6l7n3V1rSh
#phdchat #openscience https://t.co/ncajYAqLmh
"The underlying causes of [questionable research practices/p-hacking] have purported to be an emphasis on productivity, high rejection rates of journals, and competitive schemes for funding and promotion." Read more in de Winter and Dodou (2015)
https://t.co/6l7n3V1rSh
#phdchat https://t.co/8gx8xyFLZH
“It is well known that p values just below .05 are more prevalent than just above .05. One explanation is that many findings in the literature are false positives”. Read more in de Winter and Dodou’s (2015) survey on near-threshold p values.
https://t.co/6l7n3V1rSh
#phdchat https://t.co/8G2EQqjYN3
“P-values between .041 & .049 were 65.7 times more prevalent in the biological sciences than the physical sciences” results of de Winter and Dodou’s (2015) survey on the prevalence of near-threshold results across the sciences
Link: https://t.co/6l7n3V1rSh
#phdchat #openscience https://t.co/mC5knTYFQT