Adriano Días

Predicting return-to-work outcomes: A comparative analysis of logistic regression and machine learning in occupational mental health

Adriano Días, Hélio Rubens de Carvalho Nunes, Carlos Ruíz-Frutos, Juan Gómez‐Salgado, Melissa Spröesser Alonso, João Marcos Bernardes, et al.

This investigation compares the analytical performance of logistic regression (LR) and targeted maximum likelihood estimation (TMLE) methodologies for occupational health research using simulated workforce data. The study employs a simulation framework based on empirical observat…Read more