Goodness-of-fit statistics for general multiple-linear-regression equations are reviewed for the case of replicated responses. A modification of the coefficient of determination is recommended. This ...

By contrast, nonlinear regression cannot offer an analytical solution, but has to rely on iterative procedures to find the best fit.

Then, we apply a meta-regression analysis to generate a combined equation that is more robust in predicting BMR for each sub-population group.

Goodness-of-fit tests for the Cox model are constructed based on these asymptotic results. Extensive Monte Carlo studies indicate that the large-sample approximation is appropriate for practical use.