{"id":"https://openalex.org/W1505373794","doi":"https://doi.org/10.1023/a:1018586118882","title":"Sampling based approach for one-hit and multi-hit models in quantal bioassay","display_name":"Sampling based approach for one-hit and multi-hit models in quantal bioassay","publication_year":1997,"publication_date":"1997-09-01","ids":{"openalex":"https://openalex.org/W1505373794","doi":"https://doi.org/10.1023/a:1018586118882","mag":"1505373794"},"language":"en","primary_location":{"id":"doi:10.1023/a:1018586118882","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1018586118882","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5108530696","display_name":"Hui\u2010May Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"HUI-MAY CHU","raw_affiliation_strings":["U-120, Department of Statistics, University of Connecticut, Storrs, CT, 06269, USA","U-120, Department of Statistics, University of Connecticut, Storrs, CT 06269, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U-120, Department of Statistics, University of Connecticut, Storrs, CT, 06269, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"U-120, Department of Statistics, University of Connecticut, Storrs, CT 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020885244","display_name":"Lynn Kuo","orcid":"https://orcid.org/0000-0002-1903-4425"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"LYNN KUO","raw_affiliation_strings":["U-120, Department of Statistics, University of Connecticut, Storrs, CT, 06269, USA","U-120, Department of Statistics, University of Connecticut, Storrs, CT 06269, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U-120, Department of Statistics, University of Connecticut, Storrs, CT, 06269, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"U-120, Department of Statistics, University of Connecticut, Storrs, CT 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":0.593,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66079192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"3","first_page":"183","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9879000186920166,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9785000085830688,"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/gibbs-sampling","display_name":"Gibbs sampling","score":0.7386977672576904},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5749598145484924},{"id":"https://openalex.org/keywords/metropolis\u2013hastings-algorithm","display_name":"Metropolis\u2013Hastings algorithm","score":0.5592637062072754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5588560700416565},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5244753360748291},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.5229331254959106},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5063756704330444},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4923349618911743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.376620888710022},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.27936920523643494}],"concepts":[{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.7386977672576904},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5749598145484924},{"id":"https://openalex.org/C204693719","wikidata":"https://www.wikidata.org/wiki/Q910810","display_name":"Metropolis\u2013Hastings algorithm","level":4,"score":0.5592637062072754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5588560700416565},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5244753360748291},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.5229331254959106},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5063756704330444},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4923349618911743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.376620888710022},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.27936920523643494}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1018586118882","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1018586118882","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1575299154","https://openalex.org/W1638753340","https://openalex.org/W1967396577","https://openalex.org/W1967687583","https://openalex.org/W1970552113","https://openalex.org/W1974467100","https://openalex.org/W1975059750","https://openalex.org/W1975317051","https://openalex.org/W1979061066","https://openalex.org/W2055967336","https://openalex.org/W2056286731","https://openalex.org/W2056760934","https://openalex.org/W2083875149","https://openalex.org/W2108306139","https://openalex.org/W2112081648","https://openalex.org/W2123036062","https://openalex.org/W2136796925","https://openalex.org/W2148534890","https://openalex.org/W2152977846","https://openalex.org/W2157262583","https://openalex.org/W2160624840","https://openalex.org/W2168175751","https://openalex.org/W2319456810","https://openalex.org/W2409153957","https://openalex.org/W2797541439","https://openalex.org/W2991718379","https://openalex.org/W4292913667","https://openalex.org/W6602427258","https://openalex.org/W6829508698"],"related_works":["https://openalex.org/W1607416738","https://openalex.org/W2524789634","https://openalex.org/W2071668645","https://openalex.org/W2108207895","https://openalex.org/W3034774545","https://openalex.org/W2216956849","https://openalex.org/W4250051631","https://openalex.org/W4390542592","https://openalex.org/W2083677154","https://openalex.org/W4287269571"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2016-06-24T00:00:00"}