GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. Sen, A., Chakrabarti, S., Goldstein, A., Wang, S., Ryan, P. B., & Weng, C. J Biomed Inform, 63:325-336, 2016.
Paper doi bibtex @article{RN138,
author = {Sen, A. and Chakrabarti, S. and Goldstein, A. and Wang, S. and Ryan, P. B. and Weng, C.},
title = {GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies},
journal = {J Biomed Inform},
volume = {63},
pages = {325-336},
ISSN = {1532-0480 (Electronic)
1532-0464 (Linking)},
DOI = {S1532-0464(16)30115-0 [pii]
10.1016/j.jbi.2016.09.003},
url = {https://www.ncbi.nlm.nih.gov/pubmed/27600407
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5077682/pdf/nihms817522.pdf},
year = {2016},
type = {Journal Article}
}
Downloads: 0
{"_id":"vNkRDgGf66LGEjbnF","bibbaseid":"sen-chakrabarti-goldstein-wang-ryan-weng-gist20ascalablemultitraitmetricforquantifyingpopulationrepresentativenessofindividualclinicalstudies-2016","author_short":["Sen, A.","Chakrabarti, S.","Goldstein, A.","Wang, S.","Ryan, P. B.","Weng, C."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Sen"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Chakrabarti"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Goldstein"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Ryan"],"firstnames":["P.","B."],"suffixes":[]},{"propositions":[],"lastnames":["Weng"],"firstnames":["C."],"suffixes":[]}],"title":"GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies","journal":"J Biomed Inform","volume":"63","pages":"325-336","issn":"1532-0480 (Electronic) 1532-0464 (Linking)","doi":"S1532-0464(16)30115-0 [pii] 10.1016/j.jbi.2016.09.003","url":"https://www.ncbi.nlm.nih.gov/pubmed/27600407 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5077682/pdf/nihms817522.pdf","year":"2016","bibtex":"@article{RN138,\r\n author = {Sen, A. and Chakrabarti, S. and Goldstein, A. and Wang, S. and Ryan, P. B. and Weng, C.},\r\n title = {GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies},\r\n journal = {J Biomed Inform},\r\n volume = {63},\r\n pages = {325-336},\r\n ISSN = {1532-0480 (Electronic)\r\n1532-0464 (Linking)},\r\n DOI = {S1532-0464(16)30115-0 [pii]\r\n10.1016/j.jbi.2016.09.003},\r\n url = {https://www.ncbi.nlm.nih.gov/pubmed/27600407\r\nhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5077682/pdf/nihms817522.pdf},\r\n year = {2016},\r\n type = {Journal Article}\r\n}\r\n\r\n","author_short":["Sen, A.","Chakrabarti, S.","Goldstein, A.","Wang, S.","Ryan, P. B.","Weng, C."],"key":"RN138","id":"RN138","bibbaseid":"sen-chakrabarti-goldstein-wang-ryan-weng-gist20ascalablemultitraitmetricforquantifyingpopulationrepresentativenessofindividualclinicalstudies-2016","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pubmed/27600407 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5077682/pdf/nihms817522.pdf"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/network/files/uFXbeqjYdn6sNNBPF","dataSources":["gYHzosaj6P7Z4gkGW","LKj7QkGgRgaPTmbcp"],"keywords":[],"search_terms":["gist","scalable","multi","trait","metric","quantifying","population","representativeness","individual","clinical","studies","sen","chakrabarti","goldstein","wang","ryan","weng"],"title":"GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies","year":2016}