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Model performance statistics using generalized estimating equations rather than multivariable linear regression for model development.
| Fat mass | |
|---|---|
|
| |
| Measure | Performance |
| Training dataset | |
|
| |
| R2 (%) (95% CI) | 92.6 (91.3 to 94.0) |
| Slope (95% CI) | 1.00 (0.97 to 1.03) |
| Intercept (95% CI) | 0.00 (−0.06 to 0.06) |
|
| |
| Testing dataset | |
|
| |
| R2 (%) (95% CI) | 85.5% (81.1 to 89.8%) |
|
| |
| Slope (95% CI) | 1.04 (0.97 to 1.12) |
|
| |
| Intercept (95% CI) | −0.08 (−0.23 to 0.08) |
