Common use of Model Validation Clause in Contracts

Model Validation. Multiple regression analyses (▇▇▇▇▇▇ et al., 1995, ▇▇▇▇▇▇▇ et al., 2002, ▇▇▇▇ et al., 2007) and indices of adiposity were assessed (▇▇▇▇▇▇ et al., 2000) to address two questions relating to the estimation of total abdominal visceral fat using DXA adiposity and a range of anthropometric measures: 1) which of these predictive models for the “gold standard” CT measure of visceral fat, best fit our validation sample of 54 females; and 2) in relation to previous discussions (▇▇▇▇▇▇ et al., 2000), can visceral fat be reliably estimated based upon anthropometry alone. CT and DXA scans for the same individuals were date-matched to between 0.23 - 2.5 years of one another. The difference in scan date for the validation sample was included in all visceral fat regression models as a nuisance factor. A ▇▇▇▇▇-▇▇▇▇▇▇ analysis was conducted to assess if the predicted VAT error term was constant or varied across the range of CT-measured VAT area.

Model Validation. Multiple regression analyses (▇▇▇▇▇▇ Treuth et al., 1995, ▇▇▇▇▇▇▇ et al., 2002, ▇▇▇▇ et al., 2007) and indices of adiposity were assessed (▇▇▇▇▇▇ et al., 2000) to address two questions relating to the estimation of total abdominal visceral fat using DXA adiposity and a range of anthropometric measures: 1) which of these predictive models for the “gold standard” CT measure of visceral fat, best fit our validation sample of 54 females; and 2) in relation to previous discussions (▇▇▇▇▇▇ et al., 2000), can visceral fat be reliably estimated based upon anthropometry alone. CT and DXA scans for the same individuals were date-matched to between 0.23 - 2.5 years of one another. The difference in scan date for the validation sample was included in all visceral fat regression models as a nuisance factor. A ▇▇▇▇▇-▇▇▇▇▇▇ analysis was conducted to assess if the predicted VAT error term was constant or varied across the range of CT-measured VAT area.