which assumptions can you make when evaluating the calibration of a clinical predictive model? what is the difference between a calibration plot and a proportional odds plot? which assumption is considered to be less rigorous why is calibrated measurement important what type of assumptions are mediocre what assumptions are generally accepted in the calibration plot of an ordinal logistic regression what is the assumption of mediocre discrimination in logistic regression what assumptions are exceeding calibration? what is good calibration to exceed the roughly met assumption in regression? do roughly met assumptions need to be corrected for does calibration exceed roughly met assumptions? is mediocre discrimination the opposite of roughly met how is calibration exceeding assumptions which assumption is only roughly met in a logistic regression analysis does the proportional odds assumption (difficult to assess) exceed the mediocre discrimination? does the proportional odds assumption surpass discrimination what assumptions are typically overturned in a calibration what assumptions do you need for a clinical prediction what assumptions are typically met in a clinical forecasting model does the proportional odds assumption exceed discrimination?