{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T16:51:02Z","timestamp":1791046262418,"version":"4.1.0"},"reference-count":61,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"content-version":"vor","delay-in-days":973,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063036"],"award-info":[{"award-number":["U10 HD063036"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063072"],"award-info":[{"award-number":["U10 HD063072"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063047"],"award-info":[{"award-number":["U10 HD063047"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063037"],"award-info":[{"award-number":["U10 HD063037"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063041"],"award-info":[{"award-number":["U10 HD063041"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063020"],"award-info":[{"award-number":["U10 HD063020"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063046"],"award-info":[{"award-number":["U10 HD063046"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063048"],"award-info":[{"award-number":["U10 HD063048"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["U10 HD063053"],"award-info":[{"award-number":["U10 HD063053"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The American Journal of Clinical Nutrition"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1093\/ajcn\/nqaa027","type":"journal-article","created":{"date-parts":[[2020,2,4]],"date-time":"2020-02-04T20:08:51Z","timestamp":1580846931000},"page":"1235-1243","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":58,"title":["Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes"],"prefix":"10.1016","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-5467","authenticated-orcid":false,"given":"Lisa M","family":"Bodnar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abigail R","family":"Cartus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sharon I","family":"Kirkpatrick","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine P","family":"Himes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward H","family":"Kennedy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyagriv N","family":"Simhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3979-0738","authenticated-orcid":false,"given":"William A","family":"Grobman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer Y","family":"Duffy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert M","family":"Silver","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel","family":"Parry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1510-8175","authenticated-orcid":false,"given":"Ashley I","family":"Naimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"14","key":"10.1093\/ajcn\/nqaa027_bib1","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1001\/jama.2018.0158","article-title":"The state of US health, 1990\u20132016: burden of diseases, injuries, and risk factors among US states","volume":"319","author":"Mokdad","year":"2018","journal-title":"JAMA."},{"key":"10.1093\/ajcn\/nqaa027_bib2","series-title":"Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010, to the Secretary of Agriculture and the Secretary of Health and Human Services.","year":"2010"},{"issue":"8","key":"10.1093\/ajcn\/nqaa027_bib3","doi-asserted-by":"crossref","first-page":"558","DOI":"10.7326\/M16-0035","article-title":"U.S. Dietary Guidelines: an evidence-free zone","volume":"164","author":"Nissen","year":"2016","journal-title":"Ann Intern Med."},{"key":"10.1093\/ajcn\/nqaa027_bib4","doi-asserted-by":"crossref","first-page":"h4962","DOI":"10.1136\/bmj.h4962","article-title":"The scientific report guiding the US dietary guidelines: is it scientific?","volume":"351","author":"Teicholz","year":"2015","journal-title":"BMJ."},{"issue":"10","key":"10.1093\/ajcn\/nqaa027_bib5","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.nut.2010.08.012","article-title":"In the face of contradictory evidence: report of the Dietary Guidelines for Americans Committee","volume":"26","author":"Hite","year":"2010","journal-title":"Nutrition."},{"issue":"3","key":"10.1093\/ajcn\/nqaa027_bib6","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.amepre.2007.11.017","article-title":"A call for higher standards of evidence for dietary guidelines","volume":"34","author":"Marantz","year":"2008","journal-title":"Am J Prev Med."},{"issue":"10184","key":"10.1093\/ajcn\/nqaa027_bib7","doi-asserted-by":"crossref","first-page":"1958","DOI":"10.1016\/S0140-6736(19)30041-8","article-title":"Health effects of dietary risks in 195 countries, 1990\u20132017: a systematic analysis for the Global Burden of Disease Study 2017","volume":"393","year":"2019","journal-title":"Lancet."},{"issue":"8911","key":"10.1093\/ajcn\/nqaa027_bib8","doi-asserted-by":"crossref","first-page":"1454","DOI":"10.1016\/S0140-6736(94)92580-1","article-title":"Mediterranean alpha-linolenic acid-rich diet in secondary prevention of coronary heart disease","volume":"343","author":"de Lorgeril","year":"1994","journal-title":"Lancet."},{"issue":"8 Suppl","key":"10.1093\/ajcn\/nqaa027_bib9","doi-asserted-by":"crossref","first-page":"S35","DOI":"10.1016\/S0002-8223(99)00414-9","article-title":"Dietary Approaches to Stop Hypertension: a summary of study results","volume":"99","author":"Harsha","year":"1999","journal-title":"J Am Diet Assoc."},{"issue":"10","key":"10.1093\/ajcn\/nqaa027_bib10","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1301\/nr.2007.oct.439\u2013450","article-title":"Food, not nutrients, is the fundamental unit in nutrition","volume":"65","author":"Jacobs","year":"2007","journal-title":"Nutr Rev."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib11","doi-asserted-by":"crossref","first-page":"571","DOI":"10.3390\/nu10050571","article-title":"Extending methods in dietary patterns research","volume":"10","author":"Reedy","year":"2018","journal-title":"Nutrients."},{"key":"10.1093\/ajcn\/nqaa027_bib12","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1002\/mnfr.200700002","article-title":"Berry anthocyanins as novel antioxidants in human health and disease prevention","volume":"51","author":"Zafra-Stone","year":"2007","journal-title":"Mol Nutr Food Res."},{"issue":"2","key":"10.1093\/ajcn\/nqaa027_bib13","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1158\/0008-5472.CAN-06-3462","article-title":"Combinations of tomato and broccoli enhance antitumor activity in Dunning R3327-H prostate adenocarcinomas","volume":"67","author":"Canene-Adams","year":"2007","journal-title":"Cancer Res."},{"issue":"3","key":"10.1093\/ajcn\/nqaa027_bib14","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1021\/jf1040977","article-title":"Synergistic, additive, and antagonistic effects of food mixtures on total antioxidant capacities","volume":"59","author":"Wang","year":"2011","journal-title":"J Agric Food Chem."},{"key":"10.1093\/ajcn\/nqaa027_bib15","doi-asserted-by":"crossref","first-page":"k2396","DOI":"10.1136\/bmj.k2396","article-title":"Food based dietary patterns and chronic disease prevention","volume":"361","author":"Schulze","year":"2018","journal-title":"BMJ."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib16","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1079\/BJN20061731","article-title":"Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke","volume":"95","author":"Schulze","year":"2006","journal-title":"Br J Nutr."},{"issue":"9","key":"10.1093\/ajcn\/nqaa027_bib17","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1161\/CIRCULATIONAHA.115.018010","article-title":"Examining dietary patterns in relation to chronic disease: matching measures and methods to questions of interest","volume":"132","author":"Krebs-Smith","year":"2015","journal-title":"Circulation."},{"issue":"4","key":"10.1093\/ajcn\/nqaa027_bib18","doi-asserted-by":"crossref","first-page":"296","DOI":"10.2174\/157489310794072508","article-title":"A review of ensemble methods in bioinformatics","volume":"5","author":"Yang","year":"2010","journal-title":"Curr Bioinform."},{"issue":"4","key":"10.1093\/ajcn\/nqaa027_bib19","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1198\/tast.2009.08199","article-title":"Variable importance assessment in regression: linear regression versus random forest","volume":"63","author":"Gr\u00f6mping","year":"2009","journal-title":"Am Stat."},{"issue":"Pt 3","key":"10.1093\/ajcn\/nqaa027_bib20","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1111\/j.1469-1809.2009.00511.x","article-title":"Evaluating the ability of tree-based methods and logistic regression for the detection of SNP-SNP interaction","volume":"73","author":"Garc\u00eda-Magari\u00f1os","year":"2009","journal-title":"Ann Hum Genet."},{"key":"10.1093\/ajcn\/nqaa027_bib21","series-title":"The elements of statistical learning.","author":"Hastie","year":"2009"},{"issue":"8","key":"10.1093\/ajcn\/nqaa027_bib22","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1073\/pnas.1800256115","article-title":"Classification and interaction in random forests","volume":"115","author":"Denisko","year":"2018","journal-title":"Proc Natl Acad Sci U S A."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib23","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10654-018-0390-z","article-title":"Stacked generalization: an introduction to super learning","volume":"33","author":"Naimi","year":"2018","journal-title":"Eur J Epidemiol."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib24","doi-asserted-by":"crossref","first-page":"1800215","DOI":"10.1002\/mnfr.201800215","article-title":"Biomarkers of individual foods, and separation of diets using untargeted LC\u2013MS-based plasma metabolomics in a randomized controlled trial","volume":"63","author":"Acar","year":"2019","journal-title":"Mol Nutr Food Res."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib25","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.clnu.2019.02.003","article-title":"Conflicting associations between dietary patterns and changes of anthropometric traits across subgroups of middle-aged women and men","volume":"39","author":"Jiang","year":"2020","journal-title":"Clin Nutr."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib26","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1177\/1403494817736944","article-title":"Suitability of random forest analysis for epidemiological research: exploring sociodemographic and lifestyle-related risk factors of overweight in a cross-sectional design","volume":"46","author":"Kanerva","year":"2018","journal-title":"Scand J Public Health."},{"issue":"3","key":"10.1093\/ajcn\/nqaa027_bib27","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1017\/S0007114518001150","article-title":"A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002\u20132012): the ATTICA study","volume":"120","author":"Panaretos","year":"2018","journal-title":"Br J Nutr."},{"issue":"2","key":"10.1093\/ajcn\/nqaa027_bib28","doi-asserted-by":"crossref","first-page":"e56","DOI":"10.2196\/publichealth.9536","article-title":"Accurately inferring compliance to five major food guidelines through simplified surveys: applying data mining to the UK National Diet and Nutrition Survey","volume":"4","author":"Rosso","year":"2018","journal-title":"JMIR Public Health Surveill."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib29","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1016\/j.cell.2015.11.001","article-title":"Personalized nutrition by prediction of glycemic responses","volume":"163","author":"Zeevi","year":"2015","journal-title":"Cell."},{"issue":"6","key":"10.1093\/ajcn\/nqaa027_bib30","doi-asserted-by":"crossref","first-page":"795","DOI":"10.3390\/nu10060795","article-title":"Personalized nutrition\u2014genes, diet, and related interactive parameters as predictors of cancer in multiethnic colorectal cancer families","volume":"10","author":"Shiao","year":"2018","journal-title":"Nutrients."},{"issue":"6","key":"10.1093\/ajcn\/nqaa027_bib31","doi-asserted-by":"crossref","first-page":"674","DOI":"10.3390\/nu10060674","article-title":"Predictors of the healthy eating index and glycemic index in multi-ethnic colorectal cancer families","volume":"10","author":"Shiao","year":"2018","journal-title":"Nutrients."},{"issue":"Supplement_1","key":"10.1093\/ajcn\/nqaa027_bib32","doi-asserted-by":"crossref","first-page":"729S","DOI":"10.1093\/ajcn\/nqy353","article-title":"Dietary patterns before and during pregnancy and birth outcomes: a systematic review","volume":"109","author":"Raghavan","year":"2019","journal-title":"Am J Clin Nutr."},{"issue":"Supplement 1","key":"10.1093\/ajcn\/nqaa027_bib33","doi-asserted-by":"crossref","first-page":"705S","DOI":"10.1093\/ajcn\/nqy216","article-title":"Dietary patterns before and during pregnancy and maternal outcomes: a systematic review","volume":"109","author":"Raghavan","year":"2019","journal-title":"Am J Clin Nutr."},{"issue":"4","key":"10.1093\/ajcn\/nqaa027_bib34","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.ajog.2015.01.019","article-title":"A description of the methods of the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be (nuMoM2b)","volume":"212","author":"Haas","year":"2015","journal-title":"Am J Obstet Gynecol."},{"key":"10.1093\/ajcn\/nqaa027_bib35","series-title":"USDA Food and Nutrient Database for Dietary Studies version 1.0.","year":"2004"},{"key":"10.1093\/ajcn\/nqaa027_bib36","series-title":"MyPyramid Equivalents Database, version 2.0 for USDA Survey Foods, 2003\u20132004. [Internet].","author":"Bowman","year":"2004"},{"issue":"3","key":"10.1093\/ajcn\/nqaa027_bib37","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1093\/oxfordjournals.aje.a114416","article-title":"A data-based approach to diet questionnaire design and testing","volume":"124","author":"Block","year":"1986","journal-title":"Am J Epidemiol."},{"issue":"12","key":"10.1093\/ajcn\/nqaa027_bib38","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1016\/0895-4356(90)90099-B","article-title":"Validation of a self-administered diet history questionnaire using multiple diet records","volume":"43","author":"Block","year":"1990","journal-title":"J Clin Epidemiol."},{"issue":"479","key":"10.1093\/ajcn\/nqaa027_bib39","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1198\/016214506000000771","article-title":"Structured measurement error in nutritional epidemiology: applications in the Pregnancy, Infection, and Nutrition (PIN) Study","volume":"102","author":"Johnson","year":"2007","journal-title":"J Am Statist Assoc."},{"issue":"3","key":"10.1093\/ajcn\/nqaa027_bib40","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1093\/jn\/123.3.489","article-title":"A diet history questionnaire ranks nutrient intakes in middle-aged and older men and women similarly to multiple food records","volume":"123","author":"Mares-Perlman","year":"1993","journal-title":"J Nutr."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib41","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1079\/PHN2005763","article-title":"Validity and reliability of the Block98 food-frequency questionnaire in a sample of Canadian women","volume":"9","author":"Boucher","year":"2006","journal-title":"Public Health Nutr."},{"issue":"12","key":"10.1093\/ajcn\/nqaa027_bib42","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1093\/oxfordjournals.aje.a116965","article-title":"Revision of dietary analysis software for the Health Habits and History Questionnaire","volume":"139","author":"Block","year":"1994","journal-title":"Am J Epidemiol."},{"key":"10.1093\/ajcn\/nqaa027_bib43","series-title":"Diet*Calc Analysis Program, version 1.5.0.","year":"2012"},{"issue":"4","key":"10.1093\/ajcn\/nqaa027_bib44","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.jand.2012.12.016","article-title":"Update of the Healthy Eating Index: HEI-2010","volume":"113","author":"Guenther","year":"2013","journal-title":"J Acad Nutr Diet."},{"issue":"5","key":"10.1093\/ajcn\/nqaa027_bib45","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3390\/nu8050257","article-title":"Maternal dietary patterns and fetal growth: a large prospective cohort study in China","volume":"8","author":"Lu","year":"2016","journal-title":"Nutrients."},{"issue":"2","key":"10.1093\/ajcn\/nqaa027_bib46","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/0029-7844(95)00386-X","article-title":"A United States national reference for fetal growth","volume":"87","author":"Alexander","year":"1996","journal-title":"Obstet Gynecol."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib47","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1097\/AOG.0000000000001805","article-title":"Association between sleep-disordered breathing and hypertensive disorders of pregnancy and gestational diabetes mellitus","volume":"129","author":"Facco","year":"2017","journal-title":"Obstet Gynecol."},{"key":"10.1093\/ajcn\/nqaa027_bib48","series-title":"Obesity: preventing and managing the global epidemic.","year":"2000"},{"key":"10.1093\/ajcn\/nqaa027_bib49","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1186\/1471-2288-8-70","article-title":"Reducing bias through directed acyclic graphs","volume":"8","author":"Shrier","year":"2008","journal-title":"BMC Med Res Methodol."},{"key":"10.1093\/ajcn\/nqaa027_bib50","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1093\/aje\/155.2.176","article-title":"Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology","volume":"155","author":"Hern\u00e1n","year":"2002","journal-title":"Am J Epidemiol."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib51","doi-asserted-by":"crossref","first-page":"C1","DOI":"10.1111\/ectj.12097","article-title":"Double\/debiased machine learning for treatment and structural parameters","volume":"21","author":"Chernozhukov","year":"2018","journal-title":"Economet J."},{"key":"10.1093\/ajcn\/nqaa027_bib52","unstructured":"Naimi AI, Kennedy EH. Nonparametric double robustness. [Internet]. 2017; [cited 31 October, 2019]. Available from: https:\/\/arxivorg\/abs\/171107137 [statME]."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib53","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1093\/aje\/kww165","article-title":"Targeted maximum likelihood estimation for causal inference in observational studies","volume":"185","author":"Schuler","year":"2017","journal-title":"Am J Epidemiol."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib54","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1515\/ijb-2015-0031","article-title":"Second-order inference for the mean of a variable missing at random","volume":"12","author":"D\u00edaz","year":"2016","journal-title":"Int J Biostat."},{"key":"10.1093\/ajcn\/nqaa027_bib55","unstructured":"Rothe C, Firpo S. Properties of doubly robust estimators when nuisance function are estimated nonparametrically. [Internet]. Working paper. 2017 [cited 31 October, 2019]. Available from: https:\/\/www.cambridge.org\/core\/journals\/econometric-theory\/article\/properties-of-doubly-robust-estimators-when-nuisance-functions-are-estimated-nonparametrically\/A9BA1449CD982BC35C245BFEE680759F."},{"issue":"14","key":"10.1093\/ajcn\/nqaa027_bib56","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1093\/jnci\/djr189","article-title":"Dealing with dietary measurement error in nutritional cohort studies","volume":"103","author":"Freedman","year":"2011","journal-title":"J Natl Cancer Inst."},{"issue":"2","key":"10.1093\/ajcn\/nqaa027_bib57","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1097\/EDE.0000000000000788","article-title":"Machine learning for fetal growth prediction","volume":"29","author":"Naimi","year":"2018","journal-title":"Epidemiology."},{"issue":"13","key":"10.1093\/ajcn\/nqaa027_bib58","doi-asserted-by":"crossref","first-page":"35","DOI":"10.18637\/jss.v051.i13","article-title":"tmle: an R package for targeted maximum likelihood estimation","volume":"51","author":"Gruber","year":"2012","journal-title":"J Stat Soft."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib59","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1093\/aje\/kwg091","article-title":"Structure of dietary measurement error: results of the OPEN biomarker study","volume":"158","author":"Kipnis","year":"2003","journal-title":"Am J Epidemiol."},{"issue":"1","key":"10.1093\/ajcn\/nqaa027_bib60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/aje\/kwg092","article-title":"Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study","volume":"158","author":"Subar","year":"2003","journal-title":"Am J Epidemiol."},{"issue":"12","key":"10.1093\/ajcn\/nqaa027_bib61","doi-asserted-by":"crossref","first-page":"2639","DOI":"10.3945\/jn.115.219634","article-title":"Addressing current criticism regarding the value of self-report dietary data","volume":"145","author":"Subar","year":"2015","journal-title":"J Nutr."}],"container-title":["The American Journal of Clinical Nutrition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002916522011303?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002916522011303?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/academic.oup.com\/ajcn\/article-pdf\/111\/6\/1235\/33325255\/nqaa027.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/ajcn\/article-pdf\/111\/6\/1235\/33325255\/nqaa027.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T12:12:23Z","timestamp":1685362343000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0002916522011303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":61,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["S0002916522011303"],"URL":"https:\/\/doi.org\/10.1093\/ajcn\/nqaa027","relation":{},"ISSN":["0002-9165"],"issn-type":[{"value":"0002-9165","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes","name":"articletitle","label":"Article Title"},{"value":"The American Journal of Clinical Nutrition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1093\/ajcn\/nqaa027","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2020 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}