Characterizing treatment pathways at scale using the OHDSI network

Observational research promises to complement experimental research by providing large, diverse populations that would be infeasible for an experiment. Observational research can test its own clinical hypotheses, and observational studies also can contribute to the design of experiments and inform t...

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書誌詳細
出版年:Proc Natl Acad Sci U S A
主要な著者: Hripcsak, George, Ryan, Patrick B., Duke, Jon D., Shah, Nigam H., Park, Rae Woong, Huser, Vojtech, Suchard, Marc A., Schuemie, Martijn J., DeFalco, Frank J., Perotte, Adler, Banda, Juan M., Reich, Christian G., Schilling, Lisa M., Matheny, Michael E., Meeker, Daniella, Pratt, Nicole, Madigan, David
フォーマット: Artigo
言語:Inglês
出版事項: National Academy of Sciences 2016
主題:
Sackler Colloquium on Drawing Causal Inference from Big Data
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4941483/
https://ncbi.nlm.nih.gov/pubmed/27274072
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510502113
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