{"id":"https://openalex.org/W2737073005","doi":"https://doi.org/10.1177/0272989x17715627","title":"A Gaussian Approximation Approach for Value of Information Analysis","display_name":"A Gaussian Approximation Approach for Value of Information Analysis","publication_year":2017,"publication_date":"2017-07-22","ids":{"openalex":"https://openalex.org/W2737073005","doi":"https://doi.org/10.1177/0272989x17715627","mag":"2737073005","pmid":"https://pubmed.ncbi.nlm.nih.gov/28735563","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8608426"},"language":"en","primary_location":{"id":"doi:10.1177/0272989x17715627","doi":"https://doi.org/10.1177/0272989x17715627","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0272989x17715627","pdf_url":null,"source":{"id":"https://openalex.org/S103359281","display_name":"Medical Decision Making","issn_l":"0272-989X","issn":["0272-989X","1552-681X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","fnege-3","jufo-3","ki-jl-1","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Decision Making","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8608426","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050384901","display_name":"Hawre J. Jalal","orcid":"https://orcid.org/0000-0002-8224-6834","observed_orcids":["https://orcid.org/0000-0002-8224-6834"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hawre Jalal","raw_affiliation_strings":["Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA (HJ)","Department of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA (FA-E)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA (HJ)","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA (FA-E)","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080296928","display_name":"Fernando Alarid\u2010Escudero","orcid":"https://orcid.org/0000-0001-5076-1172","observed_orcids":["https://orcid.org/0000-0001-5076-1172"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando Alarid-Escudero","raw_affiliation_strings":["Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA (HJ)","Department of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA (FA-E)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA (HJ)","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA (FA-E)","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050384901"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I170201317"],"apc_list":{"value":4400,"currency":"USD","value_usd":4400},"apc_paid":null,"fwci":11.0422,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.98158991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"38","issue":"2","first_page":"174","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.8291000127792358,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.8291000127792358,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.05860000103712082,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.01640000008046627,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/value-of-information","display_name":"value of information","score":0.9129999876022339},{"id":"https://openalex.org/keywords/expected-value-of-sample-information","display_name":"expected value of sample information","score":0.9819999933242798},{"id":"https://openalex.org/keywords/normal-approximation","display_name":"Gaussian approximation","score":0.9940000176429749},{"id":"https://openalex.org/keywords/bayesian-updating","display_name":"Bayesian updating","score":0.7009999752044678},{"id":"https://openalex.org/keywords/probabilistic-sensitivity-analysis","display_name":"probabilistic sensitivity analysis","score":0.8650000095367432},{"id":"https://openalex.org/keywords/meta-modeling","display_name":"metamodeling","score":0.7699999809265137},{"id":"https://openalex.org/keywords/economic-evaluation","display_name":"economic evaluation","score":0.6000000238418579},{"id":"https://openalex.org/keywords/data-collection-design","display_name":"data collection design","score":0.6129999756813049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469190955162048},{"id":"https://openalex.org/C92424840","wikidata":"https://www.wikidata.org/wiki/Q7912772","display_name":"Value of information","level":2,"score":0.5973902344703674},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5117363929748535},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.499157190322876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46430328488349915},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45926132798194885},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45471665263175964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512704372406006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3290255069732666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24014702439308167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.156229168176651},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003362","descriptor_name":"Cost-Benefit Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003662","descriptor_name":"Decision Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007254","descriptor_name":"Information Science","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1177/0272989x17715627","doi":"https://doi.org/10.1177/0272989x17715627","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0272989x17715627","pdf_url":null,"source":{"id":"https://openalex.org/S103359281","display_name":"Medical Decision Making","issn_l":"0272-989X","issn":["0272-989X","1552-681X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","fnege-3","jufo-3","ki-jl-1","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Decision Making","raw_type":"journal-article"},{"id":"pmid:28735563","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28735563","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical decision making : an international journal of the Society for Medical Decision Making","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8608426","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8608426","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Med Decis Making","raw_type":"Text"},{"id":"pmh:oai:RePEc:sae:medema:v:38:y:2018:i:2:p:174-188","doi":null,"is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/0272989X17715627","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8608426","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8608426","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Med Decis Making","raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5739015135","display_name":"Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future Research","funder_award_id":"U01CA199335","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G6005801323","display_name":"Comparative Modeling of Effective Policies for Colorectal Cancer Control","funder_award_id":"U01CA253913","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1523141340","https://openalex.org/W1566333899","https://openalex.org/W1980187445","https://openalex.org/W1980464765","https://openalex.org/W1994665973","https://openalex.org/W2013329800","https://openalex.org/W2039213955","https://openalex.org/W2040655160","https://openalex.org/W2041098432","https://openalex.org/W2046617895","https://openalex.org/W2046808071","https://openalex.org/W2049976476","https://openalex.org/W2050297356","https://openalex.org/W2069629877","https://openalex.org/W2073673004","https://openalex.org/W2087137161","https://openalex.org/W2120986708","https://openalex.org/W2127505685","https://openalex.org/W2134997750","https://openalex.org/W2140011409","https://openalex.org/W2145170747","https://openalex.org/W2159721732","https://openalex.org/W2164654252","https://openalex.org/W2165763581","https://openalex.org/W2335111910","https://openalex.org/W2340549666","https://openalex.org/W2795495912","https://openalex.org/W2796169793","https://openalex.org/W3147833427","https://openalex.org/W4210407762","https://openalex.org/W4292691288","https://openalex.org/W4298870098"],"related_works":["https://openalex.org/W4401179823","https://openalex.org/W4391462080","https://openalex.org/W2904217677","https://openalex.org/W3181614860","https://openalex.org/W2134997750","https://openalex.org/W7037439458","https://openalex.org/W2315513852","https://openalex.org/W4408673451","https://openalex.org/W3029251398","https://openalex.org/W2049976476"],"abstract_inverted_index":{"Most":[0],"decisions":[1],"are":[2,231],"associated":[3,15,56],"with":[4,16,57],"uncertainty.":[5],"Value":[6],"of":[7,31,62,77,132,189,192,207,227],"information":[8,64,78],"(VOI)":[9],"analysis":[10,158],"quantifies":[11],"the":[12,29,75,109,133,140,173,176,186,190,225],"opportunity":[13],"loss":[14],"choosing":[17],"a":[18,80,89,127,154,167,181,204],"suboptimal":[19],"intervention":[20],"based":[21,138],"on":[22,139,175],"current":[23],"imperfect":[24],"information.":[25],"VOI":[26,46],"can":[27,200],"inform":[28],"value":[30,61,76],"collecting":[32],"additional":[33],"information,":[34],"resource":[35],"allocation,":[36],"research":[37,41,103],"prioritization,":[38],"and":[39,53,73,145,162,179,199,215],"future":[40],"designs.":[42,218],"However,":[43,101],"in":[44,68,92],"practice,":[45],"remains":[47],"underused":[48],"due":[49],"to":[50,96,107,115,147,171,184],"many":[51],"conceptual":[52],"computational":[54],"challenges":[55],"its":[58],"application.":[59],"Expected":[60],"sample":[63],"(EVSI)":[65],"is":[66,197,221],"rooted":[67],"Bayesian":[69,135],"statistical":[70],"decision":[71],"theory":[72],"measures":[74],"from":[79],"finite":[81],"sample.":[82],"The":[83,150,194],"past":[84],"few":[85],"years":[86],"have":[87],"witnessed":[88],"dramatic":[90],"growth":[91],"computationally":[93],"efficient":[94,198],"methods":[95],"calculate":[97],"EVSI,":[98],"including":[99],"metamodeling.":[100],"little":[102],"has":[104],"been":[105],"done":[106],"simplify":[108],"experimental":[110],"data":[111,160,208],"collection":[112,209],"step":[113,170,183],"inherent":[114],"all":[116],"EVSI":[117,174],"computations,":[118],"especially":[119],"for":[120,203],"correlated":[121,232],"model":[122],"parameters.":[123],"This":[124],"article":[125],"proposes":[126],"general":[128],"Gaussian":[129],"approximation":[130],"(GA)":[131],"traditional":[134],"updating":[136],"approach":[137,152,196,220],"original":[141],"work":[142],"by":[143],"Raiffa":[144],"Schlaifer":[146],"compute":[148,172,185],"EVSI.":[149],"proposed":[151,195],"uses":[153],"single":[155],"probabilistic":[156],"sensitivity":[157],"(PSA)":[159],"set":[161],"involves":[163],"2":[164],"steps:":[165],"1)":[166],"linear":[168],"metamodel":[169],"preposterior":[177,187],"distributions":[178],"2)":[180],"GA":[182],"distribution":[188],"parameters":[191,214,226],"interest.":[193],"be":[201],"applied":[202],"wide":[205],"range":[206],"designs":[210],"involving":[211],"multiple":[212],"non-Gaussian":[213],"unbalanced":[216],"study":[217],"Our":[219],"particularly":[222],"useful":[223],"when":[224],"an":[228],"economic":[229],"evaluation":[230],"or":[233],"interact.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2017-07-31T00:00:00"}
