Best model reduction approach for Fine-Gray prediction model

Almost all researchers agree that stepwise selection is inappropriate. It can be ruled out from your list. Professor Harrell would likely recommend using methods like principal component analysis; removing factors with weak or no association with your outcome is probably not a recommended approach. You can take a look at this (I am reading this recently too). 8 Case Study in Data Reduction – Regression Modeling Strategies