{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T23:45:31Z","timestamp":1792107931008,"version":"4.4.0"},"reference-count":81,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T00:00:00Z","timestamp":1677196800000},"content-version":"vor","delay-in-days":959,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>We introduce a simple new approach to variable selection in linear regression, with a particular focus on quantifying uncertainty in which variables should be selected. The approach is based on a new model\u2014the \u2018sum of single effects\u2019 model, called \u2018SuSiE\u2019\u2014which comes from writing the sparse vector of regression coefficients as a sum of \u2018single-effect\u2019 vectors, each with one non-zero element. We also introduce a corresponding new fitting procedure\u2014iterative Bayesian stepwise selection (IBSS)\u2014which is a Bayesian analogue of stepwise selection methods. IBSS shares the computational simplicity and speed of traditional stepwise methods but, instead of selecting a single variable at each step, IBSS computes a distribution on variables that captures uncertainty in which variable to select. We provide a formal justification of this intuitive algorithm by showing that it optimizes a variational approximation to the posterior distribution under SuSiE. Further, this approximate posterior distribution naturally yields convenient novel summaries of uncertainty in variable selection, providing a credible set of variables for each selection. Our methods are particularly well suited to settings where variables are highly correlated and detectable effects are sparse, both of which are characteristics of genetic fine mapping applications. We demonstrate through numerical experiments that our methods outperform existing methods for this task, and we illustrate their application to fine mapping genetic variants influencing alternative splicing in human cell lines. We also discuss the potential and challenges for applying these methods to generic variable-selection problems.<\/jats:p>","DOI":"10.1111\/rssb.12388","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T03:46:06Z","timestamp":1594352766000},"page":"1273-1300","source":"Crossref","is-referenced-by-count":1218,"title":["A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping"],"prefix":"10.1093","volume":"82","author":[{"given":"Gao","family":"Wang","sequence":"first","affiliation":[{"name":"University of Chicago \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abhishek","family":"Sarkar","sequence":"additional","affiliation":[{"name":"University of Chicago \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Carbonetto","sequence":"additional","affiliation":[{"name":"University of Chicago \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Stephens","sequence":"additional","affiliation":[{"name":"University of Chicago \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10618600.2015.1008638","article-title":"Efficient implementations of the generalized lasso dual path algorithm","volume":"25","author":"Arnold","year":"2016","journal-title":"J. Computnl Graph. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1214\/15-AOS1337","article-title":"Controlling the false discovery rate via knockoffs","volume":"43","author":"Barber","year":"2015","journal-title":"Ann. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1093\/bioinformatics\/btw018","article-title":"FINEMAP: efficient variable selection using summary data from genome-wide association studies","volume":"32","author":"Benner","year":"2016","journal-title":"Bioinformatics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1214\/15-AOS1388","article-title":"Best subset selection via a modern optimization lens","volume":"44","author":"Bertsimas","year":"2016","journal-title":"Ann. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1080\/01621459.2017.1285773","article-title":"Variational inference: a review for statisticians","volume":"112","author":"Blei","year":"2017","journal-title":"J. Am. Statist. Ass."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1534\/genetics.111.131425","article-title":"Bayesian detection of expression quantitative trait loci hot spots","volume":"189","author":"Bottolo","year":"2011","journal-title":"Genetics"},{"key":"2023022408373526300_","first-page":"583","article-title":"Evolutionary stochastic search for Bayesian model exploration","volume":"5","author":"Bottolo","year":"2010","journal-title":"Baysn Anal."},{"key":"2023022408373526300_","first-page":"73","article-title":"Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies","volume":"7","author":"Carbonetto","year":"2012","journal-title":"Baysn Anal."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1534\/genetics.115.176107","article-title":"Fine mapping causal variants with an approximate Bayesian method using marginal test statistics","volume":"200","author":"Chen","year":"2015","journal-title":"Genetics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1214\/lnms\/1215540964","volume-title":"In Model Selection","author":"Chipman","year":"2001"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster","year":"1977","journal-title":"J. R. Statist. Soc."},{"issue":"no. 4","key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.3390\/econometrics6040045","article-title":"A review on variable selection in regression analysis","volume":"6","author":"Desboulets","year":"2018","journal-title":"Econometrics"},{"key":"2023022408373526300_","first-page":"1","article-title":"bcp: an R package for performing a Bayesian analysis of change point problems","volume":"23","author":"Erdman","year":"2007","journal-title":"J. Statist. Softwr."},{"key":"2023022408373526300_","first-page":"101","article-title":"A selective overview of variable selection in high dimensional feature space","volume":"20","author":"Fan","year":"2010","journal-title":"Statist. Sin."},{"key":"2023022408373526300_","first-page":"1637","article-title":"Confidence sets for model selection by F-testing","volume":"25","author":"Ferrari","year":"2015","journal-title":"Statist. Sin."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1214\/11-STS352","article-title":"Is Bayes posterior just quick and dirty confidence","volume":"26","author":"Fraser","year":"2011","journal-title":"Statist. Sci."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"2328","DOI":"10.1214\/16-AOS1505","article-title":"A new perspective on boosting in linear regression via subgradient optimization and relatives","volume":"45","author":"Freund","year":"2017","journal-title":"Ann. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1214\/aos\/1016218223","article-title":"Additive logistic regression: a statistical view of boosting","volume":"28","author":"Friedman","year":"2000","journal-title":"Ann. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1080\/01621459.1981.10477729","article-title":"Projection pursuit regression","volume":"76","author":"Friedman","year":"1981","journal-title":"J. Am. Statist. Ass."},{"key":"2023022408373526300_","first-page":"339","article-title":"Approaches for Bayesian variable selection","volume":"7","author":"George","year":"1997","journal-title":"Statist. Sin."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1038\/nature24277","article-title":"Genetic effects on gene expression across human tissues","volume":"550","author":"GTEx Consortium","year":"2017","journal-title":"Nature"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1780","DOI":"10.1214\/11-AOAS455","article-title":"Bayesian variable selection regression for genome-wide association studies and other large-scale problems","volume":"5","author":"Guan","year":"2011","journal-title":"Ann. Appl. Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning","author":"Hastie","year":"2009"},{"key":"2023022408373526300_","volume-title":"Fast best subset selection: coordinate descent and local combinatorial optimization algorithms","author":"Hazimeh","year":"2018"},{"key":"2023022408373526300_","first-page":"353","volume-title":"In Advances in Neural Information Processing Systems 16","author":"Heskes","year":"2004"},{"key":"2023022408373526300_","article-title":"Simultaneous analysis of all SNPS in genome-wide and re-sequencing association studies","volume":"7","author":"Hoggart","year":"2008","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1534\/genetics.114.167908","article-title":"Identifying causal variants at loci with multiple signals of association","volume":"198","author":"Hormozdiari","year":"2014","journal-title":"Genetics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1038\/nature22969","article-title":"Fine-mapping inflammatory bowel disease loci to single-variant resolution","volume":"547","author":"Huang","year":"2017","journal-title":"Nature"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1214\/12-STS392","article-title":"A selective review of group selection in high-dimensional models","volume":"27","author":"Huang","year":"2012","journal-title":"Statist. Sci."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1023\/A:1008932416310","article-title":"Bayesian parameter estimation via variational methods","volume":"10","author":"Jaakkola","year":"2000","journal-title":"Statist. Comput."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1023\/A:1007665907178","article-title":"An introduction to variational methods for graphical models","volume":"37","author":"Jordan","year":"1999","journal-title":"Mach. Learn."},{"key":"2023022408373526300_","first-page":"1","article-title":"changepoint: an R package for changepoint analysis","volume":"58","author":"Killick","year":"2014","journal-title":"J. Statist. Softwr."},{"key":"2023022408373526300_","volume-title":"Bayesian multi-SNP genetic association analysis: control of FDR and use of summary statistics","author":"Lee","year":"2018"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.0030161","article-title":"Capturing heterogeneity in gene expression studies by surrogate variable analysis","volume":"3","author":"Leek","year":"2007","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1126\/science.aad9417","article-title":"RNA splicing is a primary link between genetic variation and disease","volume":"352","author":"Li","year":"2016","journal-title":"Science"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-11-58","article-title":"A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis","volume":"11","author":"Logsdon","year":"2010","journal-title":"BMC Bioinform."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"3397","DOI":"10.1109\/78.258082","article-title":"Matching pursuits with time-frequency dictionaries","volume":"41","author":"Mallat","year":"1993","journal-title":"IEEE Trans. Signl Process."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1038\/ng.2435","article-title":"Bayesian refinement of association signals for 14 loci in 3 common diseases","volume":"44","author":"Maller","year":"2012","journal-title":"Nat. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1080\/01621459.2015.1007209","article-title":"Hierarchical testing in the high-dimensional setting with correlated variables","volume":"111","author":"Mandozzi","year":"2016","journal-title":"J. Am. Statist. Ass."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1093\/biomet\/asn007","article-title":"Hierarchical testing of variable importance","volume":"95","author":"Meinshausen","year":"2008","journal-title":"Biometrika"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1111\/j.1467-9868.2010.00740.x","article-title":"Stability selection (with discussion)","volume":"72","author":"Meinshausen","year":"2010","journal-title":"J. R. Statist. Soc."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1093\/genetics\/157.4.1819","article-title":"Prediction of total genetic value using genome-wide dense marker maps","volume":"157","author":"Meuwissen","year":"2001","journal-title":"Genetics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1080\/01621459.1988.10478694","article-title":"Bayesian variable selection in linear regression","volume":"83","author":"Mitchell","year":"1988","journal-title":"J. Am. Statist. Ass."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004969","article-title":"Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model","volume":"11","author":"Moser","year":"2015","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0745-0","volume-title":"Bayesian Learning for Neural Networks","author":"Neal","year":"1996"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/978-94-011-5014-9_12","volume-title":"In Learning in Graphical Models","author":"Neal","year":"1998"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1002\/gepi.21953","article-title":"JAM: a scalable Bayesian framework for joint analysis of marginal SNP effects","volume":"40","author":"Newcombe","year":"2016","journal-title":"Genet. Epidem."},{"key":"2023022408373526300_","first-page":"85","article-title":"A review of Bayesian variable selection methods: what, how and which","volume":"4","author":"O\u2019Hara","year":"2009","journal-title":"Baysn Anal."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1093\/biostatistics\/kxh008","article-title":"Circular binary segmentation for the analysis of array-based DNA copy number data","volume":"5","author":"Olshen","year":"2004","journal-title":"Biostatistics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.56021\/9780801861406","volume-title":"Analysis of Human Genetic Linkage","author":"Ott","year":"1999"},{"key":"2023022408373526300_","first-page":"1579","volume-title":"In Proc. 21st Int. Conf. Artificial Intelligence and Statistics","author":"Pati","year":"2018"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/j.ajhg.2014.03.004","article-title":"Joint analysis of functional genomic data and genome-wide association studies of 18 human traits","volume":"94","author":"Pickrell","year":"2014","journal-title":"Am. J. Hum. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1214\/12-AOAS586","article-title":"Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies","volume":"7","author":"Pirinen","year":"2013","journal-title":"Ann. Appl. Statist."},{"key":"2023022408373526300_","article-title":"Hierarchical inference for genome-wide association studies: a view on methodology with software","author":"Renaux","year":"2018","journal-title":"Computnl Statist."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1038\/s41576-018-0016-z","article-title":"From genome-wide associations to candidate causal variants by statistical fine-mapping","volume":"19","author":"Schaid","year":"2018","journal-title":"Nat. Rev. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1371\/journal.pgen.0030114","article-title":"Imputation-based analysis of association studies: candidate regions and quantitative traits","volume":"3","author":"Servin","year":"2007","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","volume-title":"DNA copy: DNA copy number data analysis","author":"Seshan","year":"2018"},{"key":"2023022408373526300_","article-title":"Multi-resolution localization of causal variants across the genome","volume":"11","author":"Sesia","year":"2020","journal-title":"Nat. Communs"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1534\/genetics.104.032680","article-title":"Bayesian association-based fine mapping in small chromosomal segments","volume":"169","author":"Sillanp\u00e4\u00e4","year":"2005","journal-title":"Genetics"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"R111","DOI":"10.1093\/hmg\/ddv260","article-title":"Strategies for fine-mapping complex traits","volume":"24","author":"Spain","year":"2015","journal-title":"Hum. Molec. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1101\/gr.169375.113","article-title":"MultiBLUP: improved SNP-based prediction for complex traits","volume":"24","author":"Speed","year":"2014","journal-title":"Genome Res."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1111\/1467-9868.00265","article-title":"Dealing with label switching in mixture models","volume":"62","author":"Stephens","year":"2000","journal-title":"J. R. Statist. Soc."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0065245","article-title":"A unified framework for association analysis with multiple related phenotypes","volume":"8","author":"Stephens","year":"2013","journal-title":"PLOS One"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1038\/nrg2615","article-title":"Bayesian statistical methods for genetic association studies","volume":"10","author":"Stephens","year":"2009","journal-title":"Nat. Rev. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"7629","DOI":"10.1073\/pnas.1507583112","article-title":"Statistical learning and selective inference","volume":"112","author":"Taylor","year":"2015","journal-title":"Proc. Natn. Acad. Sci. USA"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. R. Statist. Soc."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1214\/13-AOS1189","article-title":"Adaptive piecewise polynomial estimation via trend filtering","volume":"42","author":"Tibshirani","year":"2014","journal-title":"Ann. Statist."},{"key":"2023022408373526300_","article-title":"Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions","author":"Urbut","year":"2018","journal-title":"Nat. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1000214","article-title":"High-resolution mapping of expression-QTLs yields insight into human gene regulation","volume":"4","author":"Veyrieras","year":"2008","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.ajhg.2015.09.001","article-title":"Modeling linkage disequilibrium increases accuracy of polygenic risk scores","volume":"97","author":"Vilhj\u00e1lmsson","year":"2015","journal-title":"Am. J. Hum. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1561\/9781601981851","volume-title":"Graphical Models, Exponential Families, and Variational Inference","author":"Wainwright","year":"2007"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1005272","article-title":"Dissection of a complex disease susceptibility region using a Bayesian stochastic search approach to fine mapping","volume":"11","author":"Wallace","year":"2015","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","first-page":"625","article-title":"Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model","volume":"1","author":"Wang","year":"2006","journal-title":"Baysn Anal."},{"key":"2023022408373526300_","volume-title":"A simple new approach to variable selection in regression, with application to genetic fine-mapping","author":"Wang","year":"2019"},{"key":"2023022408373526300_","volume-title":"Code and data accompanying this manuscript","author":"Wang","year":"2020"},{"key":"2023022408373526300_","volume-title":"An animation illustrating the IBSS algorithm","author":"Wang","year":"2020"},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1016\/j.ajhg.2016.03.029","article-title":"Efficient integrative multi-SNP association analysis via deterministic approximation of posteriors","volume":"98","author":"Wen","year":"2016","journal-title":"Am. J. Hum. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","article-title":"GCTA: a tool for genome-wide complex trait analysis","volume":"88","author":"Yang","year":"2011","journal-title":"Am. J. Hum. Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1198\/016214507000001373","article-title":"Hierarchical false discovery rate-controlling methodology","volume":"103","author":"Yekutieli","year":"2008","journal-title":"J. Am. Statist. Ass."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1003264","article-title":"Polygenic modeling with Bayesian sparse linear mixed models","volume":"9","author":"Zhou","year":"2013","journal-title":"PLOS Genet."},{"key":"2023022408373526300_","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Statist. Soc."}],"container-title":["Journal of the Royal Statistical Society Series B: Statistical Methodology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Frssb.12388","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/rssb.12388","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/rssb.12388","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/82\/5\/1273\/49321935\/jrsssb_82_5_1273.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/82\/5\/1273\/49321935\/jrsssb_82_5_1273.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T16:25:29Z","timestamp":1723220729000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jrsssb\/article\/82\/5\/1273\/7056114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,10]]},"references-count":81,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2020,7,10]]},"published-print":{"date-parts":[[2020,12,1]]}},"URL":"https:\/\/doi.org\/10.1111\/rssb.12388","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/501114","asserted-by":"object"}]},"ISSN":["1369-7412","1467-9868"],"issn-type":[{"value":"1369-7412","type":"print"},{"value":"1467-9868","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,12]]},"published":{"date-parts":[[2020,7,10]]}}}