Two-part Statistical Model for Identifying Baseline Predictors of Chronic Postsurgical Pain.
Published in Anesthesiology, 2026
A substantial proportion of patients report no pain after surgery, resulting in an excess of zero values that pose challenges for analysis using traditional statistical models. The present study was designed to test the hypothesis that a two-part model, commonly used in healthcare expenditures research, would demonstrate superior performance in predicting postsurgical pain when compared to traditional models, and would secondarily better identify predictors of this clinically important outcome.
Recommended citation: Stephan G Frangakis, Xuran Meng, Mark C Bicket, Vidhya Gunaseelan, Sawsan As Sanie, Andrew Urquhart, Yi Li and Chad M Brummett,
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