medical and drug trials routinely have severe p-hacking issues. And there have been a lot of reproducibility problems reported with, e.g. preclinical cancer research, often lacking slam dunk evidence.
Due to my medical problems I have been reading medical literature for 25 years, and indeed it is a catastrophe of p-hacking and the like, incompetent statistical analysis, ven very often there is a basic misunderstanding of what p-values mean. You routinely see researchers claiming “no effect” when the p value is slightly over 0.05.
Usually, medical papers are misleading in some serious way. The best you can hope for is that they waste the vast majority of the value in the data.
People who read abstracts only and thing they are learning something are deluding themselves. You can to go through the methods section carefully and even then not all the shenanigans are disclosed, and look very closely at sponsorship of the parties to the study (researchers, journal editors, institutions etc) to pick up the extreme biases that result from sponsorship.
Due to my medical problems I have been reading medical literature for 25 years, and indeed it is a catastrophe of p-hacking and the like, incompetent statistical analysis, ven very often there is a basic misunderstanding of what p-values mean. You routinely see researchers claiming “no effect” when the p value is slightly over 0.05.
Usually, medical papers are misleading in some serious way. The best you can hope for is that they waste the vast majority of the value in the data.
People who read abstracts only and thing they are learning something are deluding themselves. You can to go through the methods section carefully and even then not all the shenanigans are disclosed, and look very closely at sponsorship of the parties to the study (researchers, journal editors, institutions etc) to pick up the extreme biases that result from sponsorship.