{"id":"https://openalex.org/W2947729481","doi":null,"title":"BAYESIAN ESTIMATION UNDER INFORMATIVE SAMPLING: INVESTIGATING THE ASSOCIATION BETWEEN DEPRESSION AND INFLAMMATION","display_name":"BAYESIAN ESTIMATION UNDER INFORMATIVE SAMPLING: INVESTIGATING THE ASSOCIATION BETWEEN DEPRESSION AND INFLAMMATION","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947729481","mag":"2947729481"},"language":"en","primary_location":{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1066","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","source":{"id":"https://openalex.org/S4377196655","display_name":"Digital Commons-TMC (Texas Medical Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1337852284","host_organization_name":"Texas Medical Center","host_organization_lineage":["https://openalex.org/I1337852284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations & Theses (Open Access)","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084209239","display_name":"Paula Lopez Gamundi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paula Lopez Gamundi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5084209239"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.7670999765396118,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.7670999765396118,"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":0.20360000431537628,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.010700000450015068,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/informative-sampling","display_name":"informative sampling","score":0.9700000286102295},{"id":"https://openalex.org/keywords/bayesian-estimation","display_name":"Bayesian estimation","score":0.7749999761581421},{"id":"https://openalex.org/keywords/depression","display_name":"depression","score":0.8849999904632568},{"id":"https://openalex.org/keywords/inflammation","display_name":"inflammation","score":0.9869999885559082},{"id":"https://openalex.org/keywords/c-reactive-protein","display_name":"C-reactive protein","score":0.6679999828338623},{"id":"https://openalex.org/keywords/standard-error-estimation","display_name":"standard error estimation","score":0.6589999794960022},{"id":"https://openalex.org/keywords/taylor-series-linearization","display_name":"Taylor series linearization","score":0.9660000205039978},{"id":"https://openalex.org/keywords/weighted-least-squares","display_name":"weighted least squares","score":0.8999999761581421},{"id":"https://openalex.org/keywords/complex-survey-design","display_name":"complex survey design","score":0.5899999737739563},{"id":"https://openalex.org/keywords/alcohol-consumption","display_name":"alcohol consumption","score":0.7039999961853027},{"id":"https://openalex.org/keywords/smoking","display_name":"smoking","score":0.9959999918937683},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"body mass index","score":0.972000002861023},{"id":"https://openalex.org/keywords/nhanes","display_name":"NHANES","score":0.7509999871253967}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6274538040161133},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.49179771542549133},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.471695214509964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45513996481895447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4529409408569336},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43957066535949707},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4245131015777588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42112329602241516},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.415219783782959},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37173759937286377},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3338002562522888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29899704456329346},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11435219645500183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1066","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","source":{"id":"https://openalex.org/S4377196655","display_name":"Digital Commons-TMC (Texas Medical Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1337852284","host_organization_name":"Texas Medical Center","host_organization_lineage":["https://openalex.org/I1337852284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations & Theses (Open Access)","raw_type":"text"},{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1033","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/30","pdf_url":null,"source":{"id":"https://openalex.org/S4377196655","display_name":"Digital Commons-TMC (Texas Medical Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1337852284","host_organization_name":"Texas Medical Center","host_organization_lineage":["https://openalex.org/I1337852284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"UT School of Public Health Dissertations (Open Access)","raw_type":"text"},{"id":"mag:2947729481","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.library.tmc.edu/cgi/viewcontent.cgi?article=1066&context=uthsph_dissertsopen","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":{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1066","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/68","source":{"id":"https://openalex.org/S4377196655","display_name":"Digital Commons-TMC (Texas Medical Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1337852284","host_organization_name":"Texas Medical Center","host_organization_lineage":["https://openalex.org/I1337852284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations & Theses (Open Access)","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8048999905586243}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947729481.pdf","grobid_xml":"https://content.openalex.org/works/W2947729481.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1922605075","https://openalex.org/W1964251625","https://openalex.org/W1966909533","https://openalex.org/W1968292150","https://openalex.org/W1969038883","https://openalex.org/W1973788838","https://openalex.org/W1981164474","https://openalex.org/W1982699098","https://openalex.org/W1983925259","https://openalex.org/W1984134533","https://openalex.org/W1986031269","https://openalex.org/W1986678411","https://openalex.org/W1990893043","https://openalex.org/W1998007665","https://openalex.org/W2003312414","https://openalex.org/W2005620921","https://openalex.org/W2007121025","https://openalex.org/W2021581084","https://openalex.org/W2025343572","https://openalex.org/W2033344078","https://openalex.org/W2034630933","https://openalex.org/W2046166857","https://openalex.org/W2046946523","https://openalex.org/W2048992545","https://openalex.org/W2051769371","https://openalex.org/W2055012743","https://openalex.org/W2056927175","https://openalex.org/W2062378074","https://openalex.org/W2070718998","https://openalex.org/W2079337704","https://openalex.org/W2080690713","https://openalex.org/W2085600362","https://openalex.org/W2086651562","https://openalex.org/W2092153909","https://openalex.org/W2092669597","https://openalex.org/W2094615848","https://openalex.org/W2104168490","https://openalex.org/W2114680086","https://openalex.org/W2122305679","https://openalex.org/W2124392720","https://openalex.org/W2134549690","https://openalex.org/W2155761636","https://openalex.org/W2158733279","https://openalex.org/W2163514388","https://openalex.org/W2172528686","https://openalex.org/W2196101891","https://openalex.org/W2224478685","https://openalex.org/W2291716365","https://openalex.org/W2326450941","https://openalex.org/W2335699666","https://openalex.org/W2336269675","https://openalex.org/W2417583646","https://openalex.org/W2527824850","https://openalex.org/W2593014017","https://openalex.org/W2620027385","https://openalex.org/W2742915870","https://openalex.org/W2751884637","https://openalex.org/W2885257262"],"related_works":["https://openalex.org/W2762692409","https://openalex.org/W7096753379","https://openalex.org/W3123853942","https://openalex.org/W7097385834","https://openalex.org/W2207304864","https://openalex.org/W6987076766","https://openalex.org/W4392888850","https://openalex.org/W4288050399","https://openalex.org/W2793479898","https://openalex.org/W2944958851"],"abstract_inverted_index":{"Survey":[0,108],"data":[1,39,100],"is":[2,19,190],"often":[3],"collected":[4],"using":[5,99,109],"complex":[6],"sampling":[7],"designs":[8],"so":[9],"that":[10,46,154,183],"the":[11,17,22,93,102,112,131,139,148,155,184,209],"probability":[12],"of":[13,24,62,212],"being":[14],"included":[15],"in":[16,52],"study":[18],"related":[20],"to":[21,56,67,70,143,160,208],"outcome":[23],"interest":[25],"(i.e.":[26],"informative":[27,41],"sample).":[28],"Recently,":[29],"a":[30,111,116],"novel":[31,48],"fully-Bayesian":[32,113,129,140,156],"method":[33,64,114,157],"has":[34,65],"been":[35],"developed":[36],"for":[37,85],"modeling":[38],"under":[40],"sampling.":[42],"Initial":[43],"results":[44],"indicate":[45],"this":[47,63],"construction":[49],"reduces":[50],"bias":[51],"variance":[53,126,169],"estimates":[54,170],"compared":[55,69],"other":[57],"pseudo-Bayesian":[58],"techniques.":[59],"The":[60,176],"performance":[61],"yet":[66],"be":[68,204],"traditional":[71,161],"Frequentist":[72,117,133,149,162],"approaches,":[73],"which":[74],"typically":[75],"rely":[76],"on":[77],"Taylor":[78],"series":[79],"linearization":[80],"(TSL)":[81],"or":[82],"resampling":[83],"techniques":[84],"standard":[86,132],"error":[87],"(SE)":[88],"estimation.":[89,127],"Here,":[90],"we":[91],"modeled":[92],"relationship":[94,185],"between":[95,186],"depression":[96,189],"and":[97,105,115,130,164,188,197],"inflammation":[98,187],"from":[101],"National":[103],"Health":[104],"Nutrition":[106],"Examination":[107],"both":[110],"method,":[118],"specifically":[119],"weighted":[120],"least":[121],"squares":[122],"regression":[123],"with":[124],"TSL":[125],"Although":[128],"approach":[134],"generated":[135],"similar":[136],"parameter":[137],"estimates,":[138],"model":[141],"tended":[142],"produce":[144],"smaller":[145],"SEs":[146],"than":[147,171],"method.":[150],"These":[151],"findings":[152,178,182],"suggest":[153],"performs":[158],"equivalently":[159],"methods":[163],"may":[165],"even":[166],"provide":[167],"better":[168],"those":[172],"computed":[173],"by":[174,193],"TSL.":[175],"current":[177],"also":[179],"replicate":[180],"previous":[181],"likely":[191],"influenced":[192],"alcohol":[194],"use,":[195],"smoking,":[196],"Body":[198],"Mass":[199],"Index":[200],"(BMI),":[201],"but":[202],"must":[203],"interpreted":[205],"cautiously":[206],"due":[207],"high":[210],"level":[211],"missing":[213],"data.":[214]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-06-07T00:00:00"}
