Article
Testing calibration of risk models at extremes of disease risk.
Biostatistics (Oxford, England) - 1 Jan 2015
Song Minsun, Kraft Peter, Joshi Amit D, Barrdahl Myrto, Chatterjee Nilanjan
Abstract excerpt
Risk-prediction models need careful calibration to ensure they produce unbiased estimates of risk for subjects in the underlying population given their risk-factor profiles. As subjects with extreme high or low risk may be the most affected by knowledge of their risk estimates, checking the adequacy of risk models at the extremes of risk is very important for clinical applications. We propose a new approach to...
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