Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition”

• Autores: Susan Gruber, Mark J. van der Laan
• Localización: Statistical science, ISSN 0883-4237, Vol. 34, Nº. 1, 2019, págs. 82-85
• Idioma: inglés
• DOI: 10.1214/18-sts689
• Texto completo no disponible (Saber más ...)
• Resumen

  • Dorie and co-authors (DHSSC) are to be congratulated for initiating the ACIC Data Challenge. Their project engaged the community and accelerated research by providing a level playing field for comparing the performance of a priori specified algorithms. DHSSC identified themes concerning characteristics of the DGP, properties of the estimators, and inference.We discuss these themes in the context of targeted learning.