{"id":"https://openalex.org/W2233260561","doi":null,"title":"A Bayesian Family Factor Model for Multiple Outcomes","display_name":"A Bayesian Family Factor Model for Multiple Outcomes","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2233260561","mag":"2233260561"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9cj98592","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/9cj98592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"},"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/A5102854499","display_name":"Qiaolin Chen","orcid":"https://orcid.org/0000-0002-3878-0001","observed_orcids":["https://orcid.org/0000-0002-3878-0001"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qiaolin Chen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3878-0001","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5102854499"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.8237000107765198,"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"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.8237000107765198,"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/T10467","display_name":"Psychometric Methodologies and Testing","score":0.1062999963760376,"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/T13283","display_name":"Mental Health Research Topics","score":0.017400000244379044,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"confirmatory factor analysis","score":0.8090000152587891},{"id":"https://openalex.org/keywords/family-structure","display_name":"family structure","score":0.49300000071525574},{"id":"https://openalex.org/keywords/schizophrenia","display_name":"schizophrenia","score":0.5619999766349792},{"id":"https://openalex.org/keywords/heritability","display_name":"heritability","score":0.7960000038146973},{"id":"https://openalex.org/keywords/neurocognitive-measures","display_name":"neurocognitive measures","score":0.8029999732971191},{"id":"https://openalex.org/keywords/heywood-cases","display_name":"Heywood cases","score":0.7360000014305115},{"id":"https://openalex.org/keywords/full-information-maximum-likelihood","display_name":"full information maximum likelihood","score":0.6439999938011169},{"id":"https://openalex.org/keywords/mcmc-convergence","display_name":"MCMC convergence","score":0.609000027179718},{"id":"https://openalex.org/keywords/bayesian-hypothesis-testing","display_name":"Bayesian hypothesis testing","score":0.7279999852180481}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6613489985466003},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5444106459617615},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5275285243988037},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5024662017822266},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4535267949104309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4402344822883606},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42875492572784424},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.42490851879119873}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:escholarship.org/ark:/13030/qt9cj98592","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/9cj98592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"},{"id":"mag:2233260561","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt9cj98592/qt9cj98592.pdf?t=nfloa9","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":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W63792389","https://openalex.org/W127683478","https://openalex.org/W301260274","https://openalex.org/W610928596","https://openalex.org/W1549390603","https://openalex.org/W1550443206","https://openalex.org/W1562509261","https://openalex.org/W1665332082","https://openalex.org/W1681695349","https://openalex.org/W1815596065","https://openalex.org/W1913957972","https://openalex.org/W1966382716","https://openalex.org/W1966984956","https://openalex.org/W1969952417","https://openalex.org/W1971863487","https://openalex.org/W1973356140","https://openalex.org/W1973554919","https://openalex.org/W1974443530","https://openalex.org/W1978007048","https://openalex.org/W1982388982","https://openalex.org/W1985093013","https://openalex.org/W1988520084","https://openalex.org/W1990209919","https://openalex.org/W1994083798","https://openalex.org/W1994971752","https://openalex.org/W2001338645","https://openalex.org/W2003277396","https://openalex.org/W2006659044","https://openalex.org/W2007703211","https://openalex.org/W2009922756","https://openalex.org/W2010747041","https://openalex.org/W2015749074","https://openalex.org/W2020999234","https://openalex.org/W2024509488","https://openalex.org/W2026896885","https://openalex.org/W2030741364","https://openalex.org/W2036149274","https://openalex.org/W2039640683","https://openalex.org/W2042623233","https://openalex.org/W2044758663","https://openalex.org/W2044819919","https://openalex.org/W2061869679","https://openalex.org/W2070287401","https://openalex.org/W2070704074","https://openalex.org/W2076183375","https://openalex.org/W2076818396","https://openalex.org/W2079069357","https://openalex.org/W2083875149","https://openalex.org/W2091031656","https://openalex.org/W2095917182","https://openalex.org/W2096710308","https://openalex.org/W2102694811","https://openalex.org/W2105625839","https://openalex.org/W2113779710","https://openalex.org/W2124161652","https://openalex.org/W2130692493","https://openalex.org/W2131083915","https://openalex.org/W2147140611","https://openalex.org/W2312732917","https://openalex.org/W2329024290","https://openalex.org/W2460790986","https://openalex.org/W2797181071","https://openalex.org/W4292494783"],"related_works":["https://openalex.org/W2793047892","https://openalex.org/W2612665052","https://openalex.org/W2026023860","https://openalex.org/W1984207007","https://openalex.org/W7100484841","https://openalex.org/W7100468460","https://openalex.org/W1494828945","https://openalex.org/W4300770708","https://openalex.org/W2471398976","https://openalex.org/W7096363165"],"abstract_inverted_index":{"The":[0,47],"UCLA":[1,262],"Neurocognitive":[2],"Family":[3,98],"Study":[4],"(NFS)":[5],"collected":[6],"multiple":[7,40,66],"measurements":[8],"onschizophrenia":[9],"(SZ)":[10],"patients":[11],"and":[12,20,37,83,124,149,189,204,235,265,274],"their":[13],"relatives,":[14],"as":[15,17,134,251],"well":[16],"control":[18,275,298,308],"subjects":[19,304],"theirrelatives,":[21],"to":[22,111,174,186,197,211],"study":[23,36],"heritable":[24],"vulnerability":[25],"factors":[26,123,249],"for":[27,129],"schizophrenia.":[28],"Each":[29],"family":[30,61],"hasseveral":[31],"members":[32],"enrolled":[33],"in":[34,176,201,270,292],"the":[35,38,59,65,70,90,104,113,172,179,199,207,226,230,252,257,261,279],"same":[39,60,71],"outcomes":[41,81],"were":[42],"measured":[43],"on":[44,56,69],"each":[45],"person.":[46],"relationship":[48],"structure":[49],"is":[50,183],"complicated":[51],"because":[52],"not":[53,86,187,190],"only":[54],"observations":[55],"individuals":[57,72],"from":[58,229],"are":[62,73],"correlated,":[63],"but":[64],"outcome":[67,125],"measures":[68,296],"also":[74],"correlated.":[75],"Traditional":[76,127],"familial":[77],"data":[78,200,264],"analyses":[79],"model":[80,110],"separately":[82],"thus":[84],"do":[85,305],"provide":[87],"information":[88,136],"about":[89,268],"interrelationships":[91],"among":[92,115],"them.":[93],"I":[94,255],"propose":[95],"a":[96,119],"Bayesian":[97,159],"Factor":[99],"Model":[100],"(BFFM),":[101],"which":[102],"extends":[103],"classical":[105],"confirmatory":[106],"factor":[107],"analysis":[108],"(CFA)":[109],"explain":[112],"correlations":[114],"observed":[116],"variables":[117],"using":[118,141,247,283],"combination":[120],"of":[121,206,244,278,302],"family-member":[122],"factors.":[126],"methods":[128,223],"fitting":[130],"CFA":[131],"models,":[132],"such":[133],"full":[135],"maximum":[137],"likelihood":[138],"(FIML)":[139],"estimation":[140],"quasi-Newton":[142],"optimization":[143],"(QNO)":[144],"can":[145,241],"have":[146,232],"convergence":[147],"problems":[148,168],"Heywood":[150],"cases":[151],"caused":[152],"by":[153,259],"empirical":[154],"under-identification.":[155],"In":[156],"contrast,":[157],"modern":[158],"Markov":[160],"chain":[161],"Monte":[162],"Carlo":[163],"(MCMC)":[164],"handles":[165],"these":[166,193],"inference":[167],"easily.":[169],"Simulations":[170],"compare":[171],"BFFM":[173,231,240,258],"FIML-QNO":[175,195],"settings":[177],"where":[178],"true":[180],"covariance":[181],"matrix":[182],"identified,":[184],"close":[185],"identified":[188],"identified.":[191],"For":[192],"settings,":[194],"fails":[196],"fit":[198,225],"85%,":[202],"57%":[203],"13%":[205],"cases,":[208],"respectively,":[209],"due":[210],"non-convergence":[212],"or":[213],"invalid":[214],"estimates,":[215],"while":[216,300],"MCMC":[217],"provides":[218],"stable":[219],"estimates.":[220],"When":[221],"both":[222],"successfully":[224],"data,":[227],"estimates":[228],"smaller":[233],"variances":[234],"comparable":[236],"mean":[237,281],"squared":[238],"errors.":[239],"test":[242,266],"hypotheses":[243,267],"interest":[245],"easily":[246],"Bayes":[248],"computed":[250],"Savage-Dickey":[253],"ratios.":[254],"illustrate":[256],"analyzing":[260],"NFS":[263],"differences":[269,282],"means":[271],"between":[272],"SZ":[273,288,303],"families.":[276],"Tests":[277],"group":[280],"posterior":[284],"probabilities":[285],"suggest":[286],"that":[287],"probands":[289],"perform":[290],"worse":[291,306],"all":[293],"17":[294],"neurocogitive":[295],"than":[297,307],"probands,":[299],"mothers":[301],"mothers.":[309]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
