Thank you @Pavlos_Msaouel, I need to think about how to organize it taking into account how the thread began. I’ll think about it for a few days and write you.
With respect to hypothesis-free analysis, it is very common for researchers to analyze things, just because they can, without any substrate behind it.
A few years ago I made a nomogram predicting the patient’s age, to make fun of urologists, who had published more than 1000 nomograms on prostate cancer. Prediction is not causal inference, but it is common to make models with databases that were not even remotely designed for that purpose.One example is Khorana’s score for predicting thrombosis, which emerged in a study of febrile neutropenia in which the key variables for predicting thrombosis were missing, and the response variable was probably not very well collected.
2 Likes