{"id":"https://openalex.org/W64021690","doi":null,"title":"Bayesian mixture modelling for characterising environmental exposures and outcomes","display_name":"Bayesian mixture modelling for characterising environmental exposures and outcomes","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W64021690","mag":"64021690"},"language":"en","primary_location":{"id":"mag:64021690","doi":null,"is_oa":false,"landing_page_url":"https://eprints.qut.edu.au/18467/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5031830173","display_name":"Darren Wraith","orcid":"https://orcid.org/0000-0001-8755-6471","observed_orcids":["https://orcid.org/0000-0001-8755-6471"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Darren Wraith","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8755-6471","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5031830173"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.0,"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/bayesian-mixture-models","display_name":"Bayesian mixture models","score":0.9290000200271606},{"id":"https://openalex.org/keywords/environmental-exposure-assessment","display_name":"environmental exposure assessment","score":0.843999981880188},{"id":"https://openalex.org/keywords/aerosol-size-distribution","display_name":"aerosol size distribution","score":0.8140000104904175},{"id":"https://openalex.org/keywords/aerosol-concentration","display_name":"aerosol concentration","score":0.628000020980835},{"id":"https://openalex.org/keywords/health-risk-factors","display_name":"health risk factors","score":0.7020000219345093}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.484567791223526},{"id":"https://openalex.org/C2984109670","wikidata":"https://www.wikidata.org/wiki/Q320389","display_name":"Environmental risk assessment","level":3,"score":0.46485650539398193},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4391386806964874},{"id":"https://openalex.org/C2776356880","wikidata":"https://www.wikidata.org/wiki/Q5381206","display_name":"Environmental data","level":2,"score":0.4149115979671478},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4131545424461365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40609514713287354},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.3346729278564453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2334127426147461},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.13432613015174866},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08050283789634705},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:64021690","doi":null,"is_oa":false,"landing_page_url":"https://eprints.qut.edu.au/18467/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W81612492","https://openalex.org/W101281339","https://openalex.org/W130037070","https://openalex.org/W176761264","https://openalex.org/W214193251","https://openalex.org/W1416071275","https://openalex.org/W1479881385","https://openalex.org/W1497458040","https://openalex.org/W1502580768","https://openalex.org/W1511747216","https://openalex.org/W1531140821","https://openalex.org/W1539673959","https://openalex.org/W1559866592","https://openalex.org/W1568331817","https://openalex.org/W1579271636","https://openalex.org/W1598956385","https://openalex.org/W1600310449","https://openalex.org/W1868660772","https://openalex.org/W1926781402","https://openalex.org/W1928359952","https://openalex.org/W1964435302","https://openalex.org/W1972739273","https://openalex.org/W1973325935","https://openalex.org/W1973557143","https://openalex.org/W1976025342","https://openalex.org/W1977397102","https://openalex.org/W1980363510","https://openalex.org/W1985093013","https://openalex.org/W1989261258","https://openalex.org/W1989860334","https://openalex.org/W1995224390","https://openalex.org/W2001855995","https://openalex.org/W2003603025","https://openalex.org/W2007993189","https://openalex.org/W2009813561","https://openalex.org/W2014959948","https://openalex.org/W2015558203","https://openalex.org/W2016052027","https://openalex.org/W2016280428","https://openalex.org/W2019330278","https://openalex.org/W2020729558","https://openalex.org/W2020824119","https://openalex.org/W2021557681","https://openalex.org/W2025268804","https://openalex.org/W2029846212","https://openalex.org/W2035756456","https://openalex.org/W2038885294","https://openalex.org/W2043463166","https://openalex.org/W2051471828","https://openalex.org/W2054287017","https://openalex.org/W2054884879","https://openalex.org/W2057003005","https://openalex.org/W2057799496","https://openalex.org/W2058755574","https://openalex.org/W2059750604","https://openalex.org/W2060269508","https://openalex.org/W2061115813","https://openalex.org/W2061929874","https://openalex.org/W2065980805","https://openalex.org/W2069265373","https://openalex.org/W2071940340","https://openalex.org/W2072821761","https://openalex.org/W2079463355","https://openalex.org/W2080184889","https://openalex.org/W2082139731","https://openalex.org/W2082926051","https://openalex.org/W2084184695","https://openalex.org/W2084632791","https://openalex.org/W2087101057","https://openalex.org/W2092494675","https://openalex.org/W2102090341","https://openalex.org/W2104232463","https://openalex.org/W2106706098","https://openalex.org/W2107328434","https://openalex.org/W2112815636","https://openalex.org/W2114220616","https://openalex.org/W2115090019","https://openalex.org/W2115371904","https://openalex.org/W2122700335","https://openalex.org/W2123166093","https://openalex.org/W2130416410","https://openalex.org/W2131528659","https://openalex.org/W2138026878","https://openalex.org/W2142792774","https://openalex.org/W2143468207","https://openalex.org/W2147411012","https://openalex.org/W2149130428","https://openalex.org/W2151674328","https://openalex.org/W2157823046","https://openalex.org/W2162754344","https://openalex.org/W2166698530","https://openalex.org/W2169665017","https://openalex.org/W2170521505","https://openalex.org/W2171399841","https://openalex.org/W2178125340","https://openalex.org/W2327780153","https://openalex.org/W2328937024","https://openalex.org/W2464759057","https://openalex.org/W2467793844","https://openalex.org/W2524427462","https://openalex.org/W3005512703","https://openalex.org/W3028410454","https://openalex.org/W3085323863","https://openalex.org/W3121318964","https://openalex.org/W3146166473","https://openalex.org/W4213047199","https://openalex.org/W4230773480"],"related_works":["https://openalex.org/W4399260974","https://openalex.org/W3119638420","https://openalex.org/W4415306934","https://openalex.org/W1972262681","https://openalex.org/W3117739387","https://openalex.org/W4214560063","https://openalex.org/W7095835091","https://openalex.org/W2187793296","https://openalex.org/W3136994940","https://openalex.org/W4391111112"],"abstract_inverted_index":{"Environmental":[0],"exposure":[1,66],"and":[2,13,24,41,44,67,89,96,112],"outcomes":[3,85],"assessment":[4],"is":[5],"a":[6,36,57,87],"great":[7],"challenge":[8],"to":[9,20,38,62,106],"scientists.":[10],"Increasingly":[11],"more":[12,14],"detailed":[15],"data":[16,49],"are":[17,110],"becoming":[18],"available":[19],"understand":[21],"the":[22,27,71,94],"nature":[23],"complexity":[25],"of":[26,32,59,98],"relationships":[28],"involved.":[29],"The":[30],"methodology":[31],"mixture":[33],"models":[34],"provides":[35],"means":[37],"understand,":[39],"quantify":[40],"describe":[42],"features":[43],"relation-":[45],"ships":[46],"within":[47],"complex":[48,64],"sets.":[50],"In":[51],"this":[52],"thesis,":[53],"we":[54],"focussed":[55],"on":[56],"number":[58],"applied":[60],"problems":[61,109],"characterise":[63],"environmental":[65,74,84],"outcomes,":[68],"including:":[69],"assessing":[70],"interaction":[72],"between":[73],"exposures":[75],"as":[76],"risk":[77],"factors":[78],"for":[79,114],"health":[80],"outcomes;":[81],"identifying":[82],"di\u00aeering":[83],"across":[86],"region;":[88],"estab-":[90],"lishing":[91],"patterns":[92],"in":[93,117],"size":[95],"concentration":[97],"aerosol":[99],"particles":[100],"over":[101],"time.":[102],"Mixture":[103],"model":[104],"approaches":[105],"address":[107],"these":[108,118],"developed":[111],"examined":[113],"their":[115],"suitability":[116],"contexts.":[119]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
