Researchers have developed a new method to distinguish between case-mix and context heterogeneity in prognostic regression models, particularly when synthesizing data from multiple sites. The approach involves fitting site-specific local regressions in a dimension-reduced space, partitioning the smoothed coefficient surfaces into a cross-site reference and site-specific deviations. This diagnostic distinction helps determine whether joint or site-specific regression models are more appropriate for analysis, as demonstrated on a chronic obstructive pulmonary disease trial. AI
RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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