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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Bibliografiset tiedot
Julkaisussa:Proc Natl Acad Sci U S A
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: National Academy of Sciences 2016
Aiheet:
Sackler Colloquium on Drawing Causal Inference from Big Data
Linkit: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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