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1/3 This article is worthy of our attention: atsjournals.org/doi/full/10.15…
47 journal editors are offering guidelines to authors on ways to report results of causal inference studies. It is refreshing to see 47 editors reach consensus on
a topic that only a decade ago was a sure ticket
47 journal editors are offering guidelines to authors on ways to report results of causal inference studies. It is refreshing to see 47 editors reach consensus on
a topic that only a decade ago was a sure ticket
2/3 to discord. I believe the availability of DAGs as a communication language
helped the process. I have trouble with some of the terminology (e.g., "causal association") but, overall, I welcome the timely rejection of "traditional" approaches of wholesale adjustment for
helped the process. I have trouble with some of the terminology (e.g., "causal association") but, overall, I welcome the timely rejection of "traditional" approaches of wholesale adjustment for
3/3 everything one can conveniently measure. See @StatModeling for a lively discussion of opposing viewpoints, especially my explanation of why blindness to DAGs is an invitation to bias amplification ucla.in/2N8mBMg. #Bookofwhy
