"Real world data" is an almost meaningless phrase. Our new @bmj_latest paper pushes the more helpful phrase "routinely collected data" and explains the many limitations of such for research purposes. https://t.co/VvsxLQvhfk #Statistics
Periodic reminder for meta-analysis folk:
I-squared is as an estimate of between-study heterogeneity ❌
I-squared measures the proportion of total variability due to between-study heterogeneity ✅
https://t.co/Uha3OFrKeQ
🧵 Pandya et al. just landed in Cell with a “14-protein signature that predicts lung cancer 5 years out.” Nature did a news piece. The press is losing its mind. I read the methods. Someone has to. 1/10
If you think putting 107 biased observational studies in a blender yields the truth, @bmj_latest has a new paper for you. Wang et al. try to validate Target Trial Emulations against RCTs, but commit basic biostatistical sins that completely mask individual model failures. 🧵
I am not loving this trend of AI generated infographic explanation of pivotal clinical trial data. Many of them are straight up wrong as they aren’t peer reviewed or even created by an expert in that cancer type. Be CAREFUL when using these to learn about data and look at the source. #bcsm #breastcancer