How to learn statistics for medical research? I'm a last year medical student, as we say "Intern doctor". In the future I want to do research on the issue that I want to get in.
Therefore I want to learn mathematics, statistics, R programming and so on, because I want to do best statistical analysis for my research. Proper statistical analysis is the most important part after the research issue as far as I'm concerned.
Consequently, for these things I watch on Youtube the Richard McElreath statistical rethinking videos and I do learning R programming on DataCamp courses, I bought annual premium plan. As far as I see the Youtube videos that I watch are somewhat hard for me to understand. Without statistical substructure I think to learn R programming on DataCamp would be on shaky ground.
What would you think about that? I want to learn the ideas, advices from more experienced people than me. What would you advice for me to learn these skills with very well?

The discussions above make fantastic points.  I recommend a parallel approach of finding a biostatistician collaborator and learning about biostatistics.  On the latter, concentrate on learning things that the biostatistician is unlikely to already know, to spur them on to a better understanding.  I've tried to cover lots of things in BBR that are in this category---things that biostatisticians and clinical researchers have to unlearn in order to make progress.  As just one example, it is commonly accepted that computing change from baseline is OK in analyzing patient outcomes.  BBR goes to great lengths to show why you should not compute change from baseline.  You'll see lots of discussions about learning medical statistics, and collaborating, at datamethods.org.
