{"id":"https://openalex.org/W2911375005","doi":"https://doi.org/10.1007/s40264-018-00792-0","title":"A Comparison Study of Algorithms to Detect Drug\u2013Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches","display_name":"A Comparison Study of Algorithms to Detect Drug\u2013Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches","publication_year":2019,"publication_date":"2019-02-13","ids":{"openalex":"https://openalex.org/W2911375005","doi":"https://doi.org/10.1007/s40264-018-00792-0","mag":"2911375005","pmid":"https://pubmed.ncbi.nlm.nih.gov/30762164"},"language":"en","primary_location":{"id":"doi:10.1007/s40264-018-00792-0","doi":"https://doi.org/10.1007/s40264-018-00792-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s40264-018-00792-0","pdf_url":null,"source":{"id":"https://openalex.org/S49488433","display_name":"Drug Safety","issn_l":"0114-5916","issn":["0114-5916","1179-1942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320330","host_organization_name":"Adis, Springer Healthcare","host_organization_lineage":["https://openalex.org/P4310320330","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Adis, Springer Healthcare","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug Safety","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088028488","display_name":"Minh Pham","orcid":"https://orcid.org/0000-0003-3981-0951","observed_orcids":["https://orcid.org/0000-0003-3981-0951"]},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh Pham","raw_affiliation_strings":["Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA"],"raw_orcid":"https://orcid.org/0000-0003-3981-0951","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001475931","display_name":"Feng Cheng","orcid":"https://orcid.org/0000-0003-3619-8090","observed_orcids":["https://orcid.org/0000-0003-3619-8090"]},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feng Cheng","raw_affiliation_strings":["Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, 12901 Bruce B. Downs Blvd, MDC 30, Tampa, FL, 33612, USA. fcheng1@health.usf.edu","Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, 12901 Bruce B. Downs Blvd, MDC 30, Tampa, FL, 33612, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, 12901 Bruce B. Downs Blvd, MDC 30, Tampa, FL, 33612, USA. fcheng1@health.usf.edu","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, 12901 Bruce B. Downs Blvd, MDC 30, Tampa, FL, 33612, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036606471","display_name":"Kandethody M. Ramachandran","orcid":"https://orcid.org/0000-0002-6332-2758","observed_orcids":["https://orcid.org/0000-0002-6332-2758"]},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kandethody Ramachandran","raw_affiliation_strings":["Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA. ram@usf.edu","Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA. ram@usf.edu","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, University of South Florida, 4202 East Fowler Ave, CMC342, Tampa, FL, 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001475931","https://openalex.org/A5036606471"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":{"value":3760,"currency":"USD","value_usd":3760},"apc_paid":null,"fwci":4.6112,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.95212407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"42","issue":"6","first_page":"743","last_page":"750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pharmacovigilance","display_name":"pharmacovigilance","score":0.9940000176429749},{"id":"https://openalex.org/keywords/post-marketing-safety-surveillance","display_name":"post-marketing safety surveillance","score":0.8759999871253967},{"id":"https://openalex.org/keywords/fda-adverse-event-reporting-system","display_name":"FDA Adverse Event Reporting System","score":0.8640000224113464},{"id":"https://openalex.org/keywords/bayesian-confidence-propagation-neural-network","display_name":"Bayesian confidence propagation neural network","score":0.9629999995231628},{"id":"https://openalex.org/keywords/monte-carlo-expectation-maximization","display_name":"Monte Carlo expectation-maximization","score":0.984000027179718},{"id":"https://openalex.org/keywords/omop","display_name":"OMOP","score":0.734000027179718},{"id":"https://openalex.org/keywords/method-comparison","display_name":"method comparison","score":0.5099999904632568},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C57658597","wikidata":"https://www.wikidata.org/wiki/Q1550789","display_name":"Pharmacovigilance","level":3,"score":0.8694802522659302},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7563319206237793},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.5416842103004456},{"id":"https://openalex.org/C2777105317","wikidata":"https://www.wikidata.org/wiki/Q4686710","display_name":"Adverse Event Reporting System","level":3,"score":0.48043298721313477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4529794454574585},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.44756263494491577},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44255462288856506},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4228630065917969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41616901755332947},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.41342419385910034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3925153315067291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2983759641647339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2780396640300751},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2443786859512329},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19780635833740234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0917227566242218},{"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014486","descriptor_name":"United States Food and Drug Administration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016907","descriptor_name":"Adverse Drug Reaction Reporting Systems","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D060735","descriptor_name":"Pharmacovigilance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s40264-018-00792-0","doi":"https://doi.org/10.1007/s40264-018-00792-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s40264-018-00792-0","pdf_url":null,"source":{"id":"https://openalex.org/S49488433","display_name":"Drug Safety","issn_l":"0114-5916","issn":["0114-5916","1179-1942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320330","host_organization_name":"Adis, Springer Healthcare","host_organization_lineage":["https://openalex.org/P4310320330","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Adis, Springer Healthcare","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Drug Safety","raw_type":"journal-article"},{"id":"pmid:30762164","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30762164","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":"Drug safety","raw_type":"Comparative Study"},{"id":"pmh:oai:RePEc:spr:drugsa:v:42:y:2019:i:6:d:10.1007_s40264-018-00792-0","doi":null,"is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s40264-018-00792-0","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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3704946012","display_name":null,"funder_award_id":"7AZ23","funder_id":"https://openalex.org/F4320309360","funder_display_name":"Florida Department of Health"}],"funders":[{"id":"https://openalex.org/F4320309360","display_name":"Florida Department of Health","ror":"https://ror.org/03e1xkn26"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1511277043","https://openalex.org/W1981809734","https://openalex.org/W1988100739","https://openalex.org/W1997822118","https://openalex.org/W2002352636","https://openalex.org/W2015487160","https://openalex.org/W2032026767","https://openalex.org/W2039594635","https://openalex.org/W2058459680","https://openalex.org/W2083991698","https://openalex.org/W2087467131","https://openalex.org/W2091374137","https://openalex.org/W2107516065","https://openalex.org/W2109353557","https://openalex.org/W2140785063","https://openalex.org/W2143865774","https://openalex.org/W2147774652","https://openalex.org/W2150833176","https://openalex.org/W2158299492","https://openalex.org/W2166559705","https://openalex.org/W2167186282","https://openalex.org/W2319197375","https://openalex.org/W2404945087","https://openalex.org/W2804294746","https://openalex.org/W2888286402","https://openalex.org/W6630713560"],"related_works":["https://openalex.org/W4206676870","https://openalex.org/W2888286402","https://openalex.org/W3047562657","https://openalex.org/W2330422482","https://openalex.org/W7203908920","https://openalex.org/W2970322803","https://openalex.org/W2130747363","https://openalex.org/W65248687","https://openalex.org/W2017008233","https://openalex.org/W2010544163"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2019-02-21T00:00:00"}