Harlan Krumholz Profile picture
Harold H. Hines Jr Professor, Yale Univ; Director, YNHH CORE; Incoming Editor-in-Chief, JACC. Working to improve the future for those who follow us...

Aug 24, 2020, 8 tweets

Incredibly proud to be part of this amazing @OHDSI collaboration: LEGEND. This is next generation, #bigdata observational research. The pioneers are @suchard_group @nicolepratt_ Ryan You @davidbmadigan Hripcsak. academic.oup.com/jamia/advance-… #openscience @AMIAinformatics

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics And check out these principles of the Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND) initiative. This is the foundation for the #bigdata, next generation observational research. academic.oup.com/jamia/advance-…

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics Transparency, pre-specification, sharing and more… see how a typical study in LEGEND adheres to the principles. academic.oup.com/jamia/advance-…

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics Another innovation, let interested readers explore the results with an interactive viewer so they can fully understand the study. Not just a static paper, but a dynamic interface. academic.oup.com/jamia/advance-…

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics "LEGEND embodies a new approach to generating evidence from health-care data that is designed to overcome weaknesses in the current process of answering and publishing (or not) 1 question at a time.” academic.oup.com/jamia/advance-…

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics "A key guiding principle of the LEGEND approach is transparency. Prior to any analysis, the prespecified LEGEND study protocol and full analytic code are made available in open-source format (github.com/OHDSI/Legend).” academic.oup.com/jamia/advance-…

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics "following LEGEND principles that address bias, P hacking, & publication bias, LEGEND seeks to augment existing knowledge by generating reliable evidence from existing health-care data, answering questions simultaneously using transparent, reproducible, and systematic approach."

@OHDSI @suchard_group @nicolepratt_ @davidbmadigan @AMIAinformatics Here is our companion piece: "Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study” academic.oup.com/jamia/advance-…

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