{"id":"https://openalex.org/W2074760807","doi":"https://doi.org/10.1080/03610910802255840","title":"Robust Model-Based Inference for Incomplete Data via Penalized Spline Propensity Prediction","display_name":"Robust Model-Based Inference for Incomplete Data via Penalized Spline Propensity Prediction","publication_year":2008,"publication_date":"2008-09-23","ids":{"openalex":"https://openalex.org/W2074760807","doi":"https://doi.org/10.1080/03610910802255840","mag":"2074760807"},"language":"en","primary_location":{"id":"doi:10.1080/03610910802255840","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910802255840","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5027155314","display_name":"Hyonggin An","orcid":"https://orcid.org/0000-0002-0566-758X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyonggin An","raw_affiliation_strings":["Korea University","Department of Biostatistics, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]},{"raw_affiliation_string":"Department of Biostatistics, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072262441","display_name":"Roderick J. A. Little","orcid":"https://orcid.org/0000-0001-9878-6977"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roderick J. A. Little","raw_affiliation_strings":["University of Michigan","Department of Biostatistics University of Michigan Ann Arbor, Michigan USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Biostatistics University of Michigan Ann Arbor, Michigan USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027155314"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.6074,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71646612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":"9","first_page":"1718","last_page":"1731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9998999834060669,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9998999834060669,"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":0.9998000264167786,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.996999979019165,"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/imputation","display_name":"Imputation (statistics)","score":0.7621371746063232},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7350360155105591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6372087001800537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6244404315948486},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.521074652671814},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5012712478637695},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47999307513237},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4703510105609894},{"id":"https://openalex.org/keywords/standard-error","display_name":"Standard error","score":0.4700832664966583},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4359172582626343},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.43331533670425415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2422446608543396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12863489985466003}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7621371746063232},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7350360155105591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6372087001800537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6244404315948486},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.521074652671814},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5012712478637695},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47999307513237},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4703510105609894},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.4700832664966583},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4359172582626343},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.43331533670425415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2422446608543396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12863489985466003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910802255840","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910802255840","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1423766661","https://openalex.org/W1965268674","https://openalex.org/W1969640518","https://openalex.org/W1990420052","https://openalex.org/W2016911959","https://openalex.org/W2020999234","https://openalex.org/W2028235800","https://openalex.org/W2044758663","https://openalex.org/W2047391263","https://openalex.org/W2097879961","https://openalex.org/W2100358124","https://openalex.org/W2114624520","https://openalex.org/W2117897510","https://openalex.org/W2118502261","https://openalex.org/W2130324644","https://openalex.org/W2133470535","https://openalex.org/W2163738067","https://openalex.org/W2172074277","https://openalex.org/W2480680997","https://openalex.org/W4206174968","https://openalex.org/W4231517135","https://openalex.org/W4240767913","https://openalex.org/W4241410911","https://openalex.org/W4245220039"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Abstract":[0],"Parametric":[1],"model-based":[2],"regression":[3],"imputation":[4,18,77,88,164,177],"is":[5,12,40,53,192,208],"commonly":[6],"applied":[7],"to":[8,14,96,104,183],"missing-data":[9],"problems,":[10],"but":[11],"sensitive":[13],"misspecification":[15],"of":[16,47,55,59,115,149,172,181],"the":[17,35,48,56,63,69,76,101,112,116,124,132,144,153,160,189],"model.":[19,78,155],"Little":[20],"and":[21,135,162],"An":[22],"(Citation2004)":[23],"proposed":[24],"a":[25,43,170,211],"semiparametric":[26],"approach":[27],"called":[28],"penalized":[29,44],"spline":[30,45],"propensity":[31,50,71],"prediction":[32],"(PSPP),":[33],"where":[34],"variable":[36],"with":[37,89,175],"missing":[38,61,150],"values":[39,151],"modeled":[41],"by":[42,210],"(P-Spline)":[46],"response":[49,70,125],"score,":[51],"which":[52],"logit":[54],"estimated":[57],"probability":[58],"being":[60],"given":[62],"observed":[64],"variables.":[65],"Variables":[66],"other":[67],"than":[68],"are":[72],"included":[73],"parametrically":[74],"in":[75,122],"However":[79],"they":[80],"only":[81],"considered":[82],"point":[83],"estimation":[84,99],"based":[85,110,130],"on":[86,111,131],"single":[87],"PSPP.":[90],"We":[91],"consider":[92],"here":[93],"three":[94],"approaches":[95,165],"standard":[97,108,128,139],"errors":[98,109,129,140],"incorporating":[100],"uncertainty":[102],"due":[103],"non":[105],"response:":[106],"(a)":[107],"asymptotic":[113],"variance":[114],"PSPP":[117,154],"estimator,":[118],"ignoring":[119],"sampling":[120],"error":[121],"estimating":[123],"propensity;":[126],"(b)":[127],"bootstrap":[133,161],"method;":[134],"(c)":[136],"multiple":[137,163,176],"imputation-based":[138],"using":[141],"draws":[142],"from":[143],"joint":[145],"posterior":[146],"predictive":[147],"distribution":[148],"under":[152,169],"Simulation":[156],"studies":[157],"suggest":[158],"that":[159],"yield":[166],"good":[167],"inferences":[168],"range":[171],"simulation":[173],"conditions,":[174],"showing":[178],"some":[179],"evidence":[180],"closer":[182],"nominal":[184],"confidence":[185],"interval":[186],"coverage":[187],"when":[188],"sample":[190],"size":[191],"small.":[193],"Keywords:":[194],"Asymptotic":[195],"varianceBootstrapGibbs":[196],"samplerMissing":[197],"dataMultiple":[198],"imputationPenalized":[199],"splineResponse":[200],"propensityMathematics":[201],"Subject":[202],"Classification:":[203],"62J0262G09":[204],"Acknowledgment":[205],"This":[206],"research":[207],"supported":[209],"Korea":[212],"University":[213],"Grant.":[214]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2025-10-10T00:00:00"}
