{"id":"https://openalex.org/W2937488952","doi":null,"title":"BAYESIAN BASED SEMIPARAMETRIC MULTIDIMENSIONAL APPROACHES TO ANALYSIS PARKINSON'S DISEASE","display_name":"BAYESIAN BASED SEMIPARAMETRIC MULTIDIMENSIONAL APPROACHES TO ANALYSIS PARKINSON'S DISEASE","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2937488952","mag":"2937488952"},"language":"en","primary_location":{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1004","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","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/3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-4196-8101","observed_orcids":["https://orcid.org/0000-0002-4196-8101"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4196-8101","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9639000296592712,"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":0.9639000296592712,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.026200000196695328,"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/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parkinson-s-disease","display_name":"Parkinson's disease","score":1.0},{"id":"https://openalex.org/keywords/semiparametric-models","display_name":"semiparametric models","score":0.6990000009536743},{"id":"https://openalex.org/keywords/disease-progression","display_name":"disease progression","score":0.6140000224113464},{"id":"https://openalex.org/keywords/competing-risks","display_name":"competing risks","score":0.5789999961853027},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5870000123977661},{"id":"https://openalex.org/keywords/missing-at-random","display_name":"missing at random","score":0.7730000019073486},{"id":"https://openalex.org/keywords/missing-not-at-random","display_name":"missing not at random","score":0.9990000128746033},{"id":"https://openalex.org/keywords/longitudinal-profile","display_name":"longitudinal profile","score":0.41100001335144043},{"id":"https://openalex.org/keywords/treatment-effects","display_name":"treatment effects","score":0.5979999899864197},{"id":"https://openalex.org/keywords/biomarkers","display_name":"biomarkers","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5907794237136841},{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.5512883067131042},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.5403895378112793},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.5096325874328613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4890785813331604},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.46610841155052185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.375347763299942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3150798976421356},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2988196015357971},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22968551516532898},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.16087430715560913},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthsph_dissertsopen-1004","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","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":"mag:2937488952","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.library.tmc.edu/cgi/viewcontent.cgi?article=1004&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-1004","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","pdf_url":"https://digitalcommons.library.tmc.edu/uthsph_dissertsopen/3","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":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2937488952.pdf","grobid_xml":"https://content.openalex.org/works/W2937488952.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W656838156","https://openalex.org/W1421789635","https://openalex.org/W1479935944","https://openalex.org/W1481697456","https://openalex.org/W1517555081","https://openalex.org/W1535520578","https://openalex.org/W1586118024","https://openalex.org/W1809893426","https://openalex.org/W1895131631","https://openalex.org/W1972075140","https://openalex.org/W1980782084","https://openalex.org/W1982323380","https://openalex.org/W1982535961","https://openalex.org/W1983875169","https://openalex.org/W1985233017","https://openalex.org/W1988494453","https://openalex.org/W1989972396","https://openalex.org/W1990109387","https://openalex.org/W1990420052","https://openalex.org/W1992240208","https://openalex.org/W1993495146","https://openalex.org/W1996263047","https://openalex.org/W1997230335","https://openalex.org/W2001496329","https://openalex.org/W2004277545","https://openalex.org/W2007196674","https://openalex.org/W2014315605","https://openalex.org/W2015558203","https://openalex.org/W2017856614","https://openalex.org/W2021056870","https://openalex.org/W2026598211","https://openalex.org/W2028498644","https://openalex.org/W2031237588","https://openalex.org/W2031865564","https://openalex.org/W2033912352","https://openalex.org/W2037142665","https://openalex.org/W2038981426","https://openalex.org/W2045656233","https://openalex.org/W2048758213","https://openalex.org/W2049380844","https://openalex.org/W2050518314","https://openalex.org/W2050762021","https://openalex.org/W2054246668","https://openalex.org/W2054353235","https://openalex.org/W2054704918","https://openalex.org/W2056825323","https://openalex.org/W2057765075","https://openalex.org/W2059166063","https://openalex.org/W2059448777","https://openalex.org/W2070971982","https://openalex.org/W2076413986","https://openalex.org/W2088728835","https://openalex.org/W2093143832","https://openalex.org/W2095270577","https://openalex.org/W2100358124","https://openalex.org/W2102077252","https://openalex.org/W2102201073","https://openalex.org/W2105575181","https://openalex.org/W2112593211","https://openalex.org/W2113959942","https://openalex.org/W2115054037","https://openalex.org/W2121966547","https://openalex.org/W2123055262","https://openalex.org/W2129922948","https://openalex.org/W2137070022","https://openalex.org/W2137658110","https://openalex.org/W2140978740","https://openalex.org/W2142430469","https://openalex.org/W2145816995","https://openalex.org/W2147177009","https://openalex.org/W2152948593","https://openalex.org/W2156290017","https://openalex.org/W2162659118","https://openalex.org/W2163141580","https://openalex.org/W2163646519","https://openalex.org/W2170141518","https://openalex.org/W2172651064","https://openalex.org/W2185335798","https://openalex.org/W2201776847","https://openalex.org/W2203714058","https://openalex.org/W2292308365","https://openalex.org/W2300556845","https://openalex.org/W2317132159","https://openalex.org/W2321636128","https://openalex.org/W2339005630","https://openalex.org/W2346110032","https://openalex.org/W2358364508","https://openalex.org/W2405540958","https://openalex.org/W2517994159","https://openalex.org/W2620976614","https://openalex.org/W2742820760","https://openalex.org/W2801620097","https://openalex.org/W2963977107","https://openalex.org/W3006027310","https://openalex.org/W3104117975"],"related_works":["https://openalex.org/W2132424742","https://openalex.org/W2131987069","https://openalex.org/W2758536396","https://openalex.org/W2346110032","https://openalex.org/W7208835132","https://openalex.org/W1996263047","https://openalex.org/W2961895065","https://openalex.org/W7138908353","https://openalex.org/W3186350470","https://openalex.org/W4415273992"],"abstract_inverted_index":{"In":[0,210],"the":[1,49,58,67,72,77,82,91,96,103,134,138,151,158,212],"slow":[2],"progression":[3,39],"of":[4,43,114,192],"Parkinson's":[5],"Disease":[6],"(PD),":[7],"impairments":[8],"arise":[9],"and":[10,17,36,45,61,65,76,118,132,145,171,196,204,241],"affect":[11],"multiple":[12,83],"domains":[13,84,117],"(e.g.,":[14],"motor,":[15],"cognitive,":[16],"behavioral).":[18],"Mixed":[19],"types,":[20],"multivariate":[21],"longitudinal":[22,110,143,237],"data":[23,97,153,164,189,240,243],"are":[24],"commonly":[25],"used":[26,66],"in":[27,32,48,81,86,112,154,175,190,214,232,236,248],"PD":[28,34,220],"studies.":[29],"Challenges":[30],"exist":[31],"assessing":[33],"status":[35],"investigating":[37],"disease":[38,74,122],"due":[40],"to":[41,70,95,162,218],"lack":[42],"biomarkers":[44],"ubiquitous":[46],"impairment":[47,115],"disease.":[50],"We":[51,101,156,178],"proposed":[52,68],"a":[53,180],"model":[54,69,161],"framework":[55,129,246],"by":[56,165,222],"combining":[57],"semi-parametric":[59,92],"approach":[60,94,125],"multi-":[62],"dimensional":[63],"framework,":[64],"investigate":[71],"heterogeneous":[73,121],"development":[75],"non-linear":[78],"treatment":[79],"effects":[80],"predefined":[85],"PD.":[87,155,233],"Furthermore,":[88],"we":[89,149],"extended":[90,157],"multidimensional":[93,159],"with":[98,109],"multi-types":[99],"endpoints.":[100,147],"investigated":[102],"multi-type":[104,146],"events":[105],"(competing":[106],"risks)":[107],"simultaneously":[108],"profile":[111,144],"presence":[113,191],"across":[116],"domain":[119,141,176],"specific":[120,142],"progression.":[123],"Our":[124],"provides":[126],"an":[127],"explicit":[128],"for":[130,183],"defining":[131],"estimating":[133],"impaired":[135],"covariate":[136],"effects,":[137],"association":[139],"between":[140],"Lastly,":[148],"addressed":[150,230],"missing":[152,163,188,198,200,205,242],"joint":[160],"analyzing":[166],"two":[167,193,197],"missingness":[168,194],"patterns":[169,195],"(intermittent":[170],"monotone":[172],"missingness)":[173],"jointly":[174],"levels.":[177],"provided":[179],"statistical":[181],"method":[182],"simultaneous":[184],"likelihood":[185],"inference":[186],"on":[187,224],"mechanisms,":[199],"at":[201,207],"random":[202,208],"(MAR)":[203],"not":[206,228],"(MNAR).":[209],"summary,":[211],"studies":[213,221],"this":[215,245],"dissertation":[216],"add":[217],"current":[219],"focusing":[223],"those":[225],"ignored":[226],"or":[227],"fully":[229],"problems":[231],"The":[234],"applications":[235],"data,":[238],"survival":[239],"promote":[244],"usability":[247],"public":[249],"health":[250],"research.":[251]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2019-04-25T00:00:00"}
