{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T22:03:22Z","timestamp":1746309802588,"version":"3.37.3"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000893","name":"Simons Foundation","doi-asserted-by":"crossref","award":["280601"],"award-info":[{"award-number":["280601"]}],"id":[{"id":"10.13039\/100000893","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Stat"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s00180-021-01074-7","type":"journal-article","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T03:02:28Z","timestamp":1614222148000},"page":"1561-1575","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Predictive modeling of maximum injury severity and potential economic cost in a car accident based on the General Estimates System data"],"prefix":"10.1007","volume":"36","author":[{"given":"Gunes","family":"Alkan","sequence":"first","affiliation":[]},{"given":"Robert","family":"Farrow","sequence":"additional","affiliation":[]},{"given":"Haichen","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Clayton","family":"Moore","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4685-2199","authenticated-orcid":false,"given":"Hon Keung Tony","family":"Ng","sequence":"additional","affiliation":[]},{"given":"Lynne","family":"Stokes","sequence":"additional","affiliation":[]},{"given":"Yihan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Ziyuan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yuzhi","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Zhong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,25]]},"reference":[{"key":"1074_CR1","doi-asserted-by":"publisher","unstructured":"Amjadi R, Martinez W (2021) The 2016 Data Challenge of the American Statistical Association. Computational Statistics. https:\/\/doi.org\/10.1007\/s00180-021-01076-5","DOI":"10.1007\/s00180-021-01076-5"},{"key":"1074_CR2","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1080\/15389588.2012.725879","volume":"14","author":"JR Brubacher","year":"2013","unstructured":"Brubacher JR, Chan H, Fang M, Brown D, Purssell R (2013) Police documentation of alcohol involvement in hospitalized injured drivers. Traffic Injury Prevent 14:453\u2013460","journal-title":"Traffic Injury Prevent"},{"key":"1074_CR3","unstructured":"Centers for Disease Control and Prevention (2015) State-specific costs of motor vehicle crash deaths"},{"key":"1074_CR4","unstructured":"Federal Highway Administration, United States Department of Transportation (2011) highway safety improvement program manual"},{"key":"1074_CR5","unstructured":"Federal Highway Administration, United States Department of Transportation (2014) The crash severity cost table, crash modification factors clearinghouse"},{"key":"1074_CR6","unstructured":"Insurance Institute for Highway Safety (2016) Fatality facts: state by state"},{"key":"1074_CR7","unstructured":"National Highway Traffic Safety Administration. (2013). 2012 Fatality Analysis Reporting System (FARS) and National Automotive Sampling System (NASS) General Estimates System (GES) Coding and Validation Manual (DOT Publication No. DOT HS 811 854). Retrieved from https:\/\/crashstats.nhtsa.dot.gov\/Api\/Public\/ViewPublication\/811854"},{"key":"1074_CR8","unstructured":"National Highway Traffic Safety Administration (2014a) 2013 FARS and NASS GES coding and validation manual (DOT Publication No. DOT HS 812 094). Retrieved from https:\/\/crashstats.nhtsa.dot.gov\/Api\/Public\/ViewPublication\/812094"},{"key":"1074_CR9","unstructured":"National Highway Traffic Safety Administration. (2014b). National Automotive Sampling System (NASS) General Estimates System (GES) Analytical User\u2019s Manual 1988-2013 (DOT Publication No. DOT HS 812 091). Retrieved from ftp:\/\/ftp.nhtsa.dot.gov\/GES\/GES13\/GES%20Analytical%20Users%20Manual%201988-2013_FINAL.pdf"},{"key":"1074_CR10","unstructured":"R Core Team (2018) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0"},{"key":"1074_CR11","unstructured":"SAS Institute Inc. (2009) Getting Started with SAS Enterprise Miner 6.1. Cary, NC: SAS Institute Inc"},{"key":"1074_CR12","unstructured":"SAS Institute Inc. (2013) SAS 9.4 language reference concepts. SAS Institute Inc, Cary"},{"key":"1074_CR13","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1177\/096228029900800102","volume":"8","author":"JL Schafer","year":"1999","unstructured":"Schafer JL (1999) Multiple imputation: a primer. Stat Methods Med Res 8:3\u201315","journal-title":"Stat Methods Med Res"},{"key":"1074_CR14","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1214\/aos\/1176349741","volume":"13","author":"LA Stefanski","year":"1985","unstructured":"Stefanski LA, Carroll RJ (1985) Covariate measurement error in logistic regression. Ann Stat 13:1335\u20131351","journal-title":"Ann Stat"},{"key":"1074_CR15","doi-asserted-by":"publisher","first-page":"341","DOI":"10.15288\/jsad.2012.73.341","volume":"73","author":"RB Voas","year":"2012","unstructured":"Voas RB, Torres P, Romano E, Lacey JH (2012) Alcohol-related risk of driver fatalities: an update using 2007 data. J Stud Alcohold Drugs 73:341\u2013350","journal-title":"J Stud Alcohold Drugs"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-021-01074-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00180-021-01074-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-021-01074-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T18:20:24Z","timestamp":1626200424000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00180-021-01074-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,25]]},"references-count":15,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["1074"],"URL":"https:\/\/doi.org\/10.1007\/s00180-021-01074-7","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"type":"print","value":"0943-4062"},{"type":"electronic","value":"1613-9658"}],"subject":[],"published":{"date-parts":[[2021,2,25]]},"assertion":[{"value":"15 April 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}