text: Yo, check it out, I'm 'bout to break it down
  Talking 'bout the Fine-Gray model, hold your crown
  Analyzing univariate competing risks data, that's right
  Proportional subdistribution hazards, day and night
  
  We take it further, extend it to the clustered scene
  Frailty enters the stage, making it mean
  But hold up, no literature on variable selection
  For these competing risks frailty models, no detection
  
  So listen up, here's what we propose
  A simple procedure, everybody knows
  Penalized h-likelihood, the key to the game
  Variable selection, we ain't playing no shame
  
  Fixed effects in subdistribution hazard frailty models
  Random effects shared or correlated, no troubles
  We got three penalties, let me break it down
  LASSO, SCAD, and HL, the talk of the town
  
  Implementing the method, it's a piece of cake
  Modify the h-likelihood, make no mistake
  Numerical studies, yo, they don't lie
  HL penalty outperforms, reaching for the sky
  
  Higher probability of choosing the true model
  LASSO and SCAD can't match, that's the rule
  Prediction accuracy, we don't lose it
  The new method shines, can't refuse it
  
  Real datasets from clinical trials, we bring it real
  Illustrating the usefulness, let's make a deal
  Multi-center action, we're taking it wide
  This rap's over now, but the knowledge will ride