Likely biased but possibly useful: the implications of conditioning on future events for interpretation of effects in perinatal epidemiology
Session Chairs: Mollie Wood, Dominique Heinke
Session Chairs: Mollie Wood, Dominique Heinke
Sarah McDonald, IQVIA LINK TO ARTICLE
Charles Poole, UNC Chapel Hill Donna Spiegelman, Harvard University
Judea Pearl Articles relevant to this video: 1. Causal inference from big data http://ftp.cs.ucla.edu/pub/stat_ser/r450.pdf 2. Generalizing Experimental Findings http://ftp.cs.ucla.edu/pub/stat_ser/r452.pdf