Read the whole article before complaining btw.
I am proposing a theoretical empirical formula derived from performing linear regression of the data of low testosterone men being officially prescribed with TRT injections. It's variables are based off testosterone before starting injections, and dosage of testosterone. A note on the formula is that nanograms must be used to retain mathematical consistency in dimensional analysis. Another note is that there is a constant of (375,000) in the formula but I have no idea specifically why it is that value it simply a value that came after performing linear regression on the data.
The formula is actually quite simple since I said it's a linear equation.
z = a + b/(375000)
Where a is testosterone before starting cycle, b is TRT injection dose, and z is resulting testosterone during cycle (after a week+). This contribution may not be large and super high effort but I believe it can save a lot of guesswork.
I am proposing a theoretical empirical formula derived from performing linear regression of the data of low testosterone men being officially prescribed with TRT injections. It's variables are based off testosterone before starting injections, and dosage of testosterone. A note on the formula is that nanograms must be used to retain mathematical consistency in dimensional analysis. Another note is that there is a constant of (375,000) in the formula but I have no idea specifically why it is that value it simply a value that came after performing linear regression on the data.
The formula is actually quite simple since I said it's a linear equation.
z = a + b/(375000)
Where a is testosterone before starting cycle, b is TRT injection dose, and z is resulting testosterone during cycle (after a week+). This contribution may not be large and super high effort but I believe it can save a lot of guesswork.
