Table 9.
cFT Monte Carlo simulation (Excel spreadsheet representation).
A | B | C | D | E | F | G | H | |
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1 | Input quantities | Formula | Output | |||||
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2 | T nmol/L | SHBG (S) nmol/L | 24.00314 | 0.04599 | cFT pmol/L | |||
3 | Value | 12.2 | 36.6 | 24.00314 | 0.04599 | cFT = 24.00314 * T/log(S) − 0.04599 *T^2 | → | 180.5 |
4 | Uncertainty | 0.61 | 1.83 | 0.2400314 | 0.0004599 | |||
5 | ||||||||
6 | ↓ | ↓ | ↓ | ↓ | Trial results | |||
7 | Trial # | cFT | ||||||
8 | 1 | 12.259 | 37.645 | 24.159836 | 0.045892 | cFT = 24.00314 * T/log(S) − 0.04599 *T^2 | → | 181.07 |
9 | 2 | 13.001 | 35.048 | 23.765519 | 0.046060 | → | 192.24 | |
10 | 3 | 12.209 | 34.061 | 23.982057 | 0.045990 | → | 184.24 | |
11 | 4 | 11.421 | 35.472 | 23.935677 | 0.045469 | → | 170.45 | |
12 | 5 | 11.938 | 37.221 | 23.981260 | 0.045930 | → | 175.72 | |
13 | 6 | 12.261 | 37.897 | 23.979929 | 0.046228 | → | 179.30 | |
14 | 7 | 12.068 | 34.934 | 23.905895 | 0.046410 | → | 180.18 | |
15 | 8 | 12.577 | 38.482 | 23.873808 | 0.046113 | → | 182.12 | |
16 | 9 | 12.878 | 36.382 | 24.227331 | 0.045721 | → | 192.31 | |
17 | 10 | 12.249 | 36.656 | 23.514162 | 0.045899 | → | 177.26 | |
↓ | ↓ | ↓ | ↓ | ↓ | ↓ | ↓ | ||
10007 | 10000 | 11.896 | 34.608 | 24.165267 | 0.046522 | cFT = 24.00314 * T/log(S) − 0.04599 *T^2 | → | 180.18 |
- Column B rows 8 to 10007; (NORMINV(RAND(),$B$3,$B$4)),
- Column C rows 8 to 10007; (NORMINV(RAND(),$C$3,$C$4)),
- Column D rows 8 to 10007; (NORMINV(RAND(),$D$3,$D$4)),
- Column E rows 8 to 10007; (NORMINV(RAND(),$E$3,$E$4)).