Predicting Hypoparathyroidism Diagnosis In Medicare Claims — Exploring The Utility Of Sequence Analysis

Claims-based prediction models commonly use dichotomous indicator variables (e.g., presence/absence of disease) or count variables (e.g., frequency of claims) as predictors. The research objective was to compare the predictive ability of this standard model with other models that account for the sequence of events. The models were applied in the context of predicting hypoparathyroidism diagnosis among Medicare beneficiaries.


Site Li, Bingqing Yu, Xinyi Wang, Guangyan Yu, Diptanshu Singh, Gavin Miyasato, Masanao Yajima


ISPOR Meeting, May 2019

See all Thought Leadership posts