Survival analysis isn't something you can learn on the fly. Its one if not two graduate level courses. You need an incredibly strong grasp of joint probability theory, distribution theory and integration calculus. That being said, this book is a good resource:
An Introduction to Survival Analysis Using Stata, Revised Third Edition https://www.amazon.com/dp/1597181749/ref=cm_sw_r_cp_api_i_TEAD4W729HT5HCMZVJ94?_encoding=UTF8&psc=1
Thanks for the explanations. I actually use Python and R routinely, and that is also why some of this stuff seems so weird. Just a couple of quick comments:
- I did not think about field work. In that case the (by far superior) R online resources indeed will be of now help at all. Nevertheless, converting a website into a bunch of pdfs is easy, so there is no reason not to have something like https://readthedocs.org/ page for stata.
- Autocompleting variable names is very handy, and pretty much ubiquitous, there is literally no excuse not to have that.
- (Nobody uses base R alone.) Switching between windows is just a pain, unless you have several monitors, (which is probably not possible when doing field work ;) )
- If I have to select something it means either using the mouse or selecting with shift. If I want to look at the output line by line this is just A LOT of extra action.
In any case, everything I listed is just a matter of preference (but pretty much "industry standard") and will not break any workflow of old users, but will make it easier for new users to join. Especially a modern online documentation might do wonders. Saying "but what you want to do can be achieved by a workaround" is not really helpful ;) I know there is a workaround, but that is exactly the reason why it feels like I am in 1997 ;)
I wholeheartedly agree with everything u/dr_police said. I teach advanced quant in the social sciences (education) and I think this book is a great option that I use in my class: Applied Statistics Using Stata: A Guide for the Social Sciences https://smile.amazon.com/dp/1473913233/ref=cm_sw_r_cp_api_glt_fabc_E2J77X3J91TYBS47115C. Each chapter has code and sample data files that go with the text, and the book is only modestly technical.