Description: This publication presents the “Lemonade Method,” a maximum likelihood approach for estimating transition probabilities in multi-state chronic disease models using published regression data from studies whose designs don’t perfectly align with the theoretical model. It is demonstrated through an application to cardiovascular disease progression in diabetic patients.

Citation: Isaman, D. J., Barhak, J., & Ye, W. (2009). Indirect estimation of a discrete-state discrete-time model using secondary data analysis of regression data. Statistics in medicine, 28(16), 2095–2115. https://doi.org/10.1002/sim.3599