Indirect modeling of derived outcomes: Are minor prediction discrepancies a cause for concern?

• Auteur principal: John P. Prybylski (Auteur)
• Format: Livre
• Publié: Wiley, 2024-10-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Abstract It is often a goal of model development to predict data from which a variety of outcomes can be derived, such as threshold‐based categorization or change from baseline (CFB) transformations. This approach can improve power or support multiple decisions. Because these derivations are indirec...