Description: This publication describes the “Lemonade Method,” a statistical technique for estimating disease progression parameters in Markov models of chronic disease when available clinical studies don’t perfectly match the theoretical model design. It is demonstrated through an application to heart disease in diabetic patients.

Citation: Ye, W., Isaman, D. J., & Barhak, J. (2012). Use of Secondary Data to Estimate Instantaneous Model Parameters of Diabetic Heart Disease: Lemonade Method. An international journal on information fusion, 13(2), 137–145. https://doi.org/10.1016/j.inffus.2010.08.003