RMS Ordinal Regression for Continuous Y

data analysis modeling strategy
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Q&A From May 2021 Course

  1. To evaluate if BMI of height/weight measurements do better, why is the ratio of log height log weight is -2.4? How did you compute -2.4? Is it always -2.4? Why did you use a log-log model? Why not linear model? Log BMI = log weight minus 2 * log height. So on the log scale BMI assumes the ratio of coefficients is -2, and we check that by fitting log height and log weight as separate variables.
  2. Can you give a reference on how to interpret a nomogram? What do points and total points mean? _See this beautiful post: https://stats.stackexchange.com/questions/155430_