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diagnostic test evaluation 1directed acyclic graphs 1latent class analysis 1measurement error 1model identifiability 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

stat.ME2026

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs)

Nandini Dendukuri, Ian Schiller, Else Bijker +4

The paper shows how using directed acyclic graphs (DAGs) to represent the measurands of imperfect diagnostic tests can improve latent class models, leading to more accurate estimat…