{"id":"https://openalex.org/W2931585753","doi":null,"title":"Marginal Causal Sub-Group Analysis with Incomplete Covariate Data","display_name":"Marginal Causal Sub-Group Analysis with Incomplete Covariate Data","publication_year":2019,"publication_date":"2019-01-11","ids":{"openalex":"https://openalex.org/W2931585753","mag":"2931585753"},"language":"en","primary_location":{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/14343","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14343","pdf_url":"https://uwspace.uwaterloo.ca/bitstream/10012/14343/1/Cuerden_Meaghan.pdf","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://uwspace.uwaterloo.ca/bitstream/10012/14343/1/Cuerden_Meaghan.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054161071","display_name":"Meaghan S. Cuerden","orcid":"https://orcid.org/0000-0002-0171-5855","observed_orcids":["https://orcid.org/0000-0002-0171-5855"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meaghan S. Cuerden","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0171-5855","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5054161071"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9940999746322632,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9940999746322632,"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":0.0026000000070780516,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.0012000000569969416,"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/missing-at-random","display_name":"missing at random","score":0.7639999985694885},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.7310000061988831},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.6010000109672546},{"id":"https://openalex.org/keywords/confounding","display_name":"confounding","score":0.5590000152587891},{"id":"https://openalex.org/keywords/non-ignorable-missingness","display_name":"non-ignorable missingness","score":0.8109999895095825},{"id":"https://openalex.org/keywords/binary-outcomes","display_name":"binary outcomes","score":0.5979999899864197},{"id":"https://openalex.org/keywords/causal-effect-estimation","display_name":"causal effect estimation","score":0.5139999985694885},{"id":"https://openalex.org/keywords/asymptotic-standard-errors","display_name":"asymptotic standard errors","score":0.753000020980835},{"id":"https://openalex.org/keywords/treatment-selection","display_name":"treatment selection","score":0.41999998688697815},{"id":"https://openalex.org/keywords/consistency-results","display_name":"consistency results","score":0.5}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8303496241569519},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5287979245185852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4526592791080475},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4111376404762268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3597223460674286},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3387383818626404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3284589648246765},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3244650959968567},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10426673293113708},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/14343","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14343","pdf_url":"https://uwspace.uwaterloo.ca/bitstream/10012/14343/1/Cuerden_Meaghan.pdf","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},{"id":"mag:2931585753","doi":null,"is_oa":false,"landing_page_url":"https://uwspace.uwaterloo.ca/handle/10012/14343","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:uwspace.uwaterloo.ca:10012/14343","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/14343","pdf_url":"https://uwspace.uwaterloo.ca/bitstream/10012/14343/1/Cuerden_Meaghan.pdf","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4043000042438507}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2931585753.pdf","grobid_xml":"https://content.openalex.org/works/W2931585753.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1057791","https://openalex.org/W1490576214","https://openalex.org/W1500944114","https://openalex.org/W1511751337","https://openalex.org/W1528905581","https://openalex.org/W1556844649","https://openalex.org/W1573084488","https://openalex.org/W1592228396","https://openalex.org/W1622753297","https://openalex.org/W1941761140","https://openalex.org/W1963654454","https://openalex.org/W1968185435","https://openalex.org/W1973907010","https://openalex.org/W1974618278","https://openalex.org/W1989377468","https://openalex.org/W2008557562","https://openalex.org/W2009187570","https://openalex.org/W2011378329","https://openalex.org/W2026599052","https://openalex.org/W2031392253","https://openalex.org/W2032234757","https://openalex.org/W2034806082","https://openalex.org/W2038826970","https://openalex.org/W2039811614","https://openalex.org/W2055061954","https://openalex.org/W2057406433","https://openalex.org/W2057684816","https://openalex.org/W2060447671","https://openalex.org/W2061407842","https://openalex.org/W2061820675","https://openalex.org/W2061839154","https://openalex.org/W2064569198","https://openalex.org/W2065974896","https://openalex.org/W2067332379","https://openalex.org/W2071152788","https://openalex.org/W2075432660","https://openalex.org/W2078110114","https://openalex.org/W2085438886","https://openalex.org/W2089980439","https://openalex.org/W2091956653","https://openalex.org/W2100358124","https://openalex.org/W2108233388","https://openalex.org/W2108696783","https://openalex.org/W2111616613","https://openalex.org/W2114877987","https://openalex.org/W2115098571","https://openalex.org/W2116739230","https://openalex.org/W2117475025","https://openalex.org/W2118266456","https://openalex.org/W2118502261","https://openalex.org/W2126919203","https://openalex.org/W2127841934","https://openalex.org/W2128984831","https://openalex.org/W2132917208","https://openalex.org/W2137370054","https://openalex.org/W2142495742","https://openalex.org/W2143743735","https://openalex.org/W2143891888","https://openalex.org/W2145429839","https://openalex.org/W2146676275","https://openalex.org/W2148173212","https://openalex.org/W2148742104","https://openalex.org/W2150291618","https://openalex.org/W2156294597","https://openalex.org/W2158460222","https://openalex.org/W2159793007","https://openalex.org/W2160967414","https://openalex.org/W2164498941","https://openalex.org/W2165711693","https://openalex.org/W2168639902","https://openalex.org/W2509191638","https://openalex.org/W2546460559","https://openalex.org/W2555368172","https://openalex.org/W2599076725","https://openalex.org/W2888335757","https://openalex.org/W3123974754","https://openalex.org/W3125855424","https://openalex.org/W4211101039"],"related_works":["https://openalex.org/W4280498397","https://openalex.org/W3187148082","https://openalex.org/W2026530583","https://openalex.org/W7096136644","https://openalex.org/W2126606409","https://openalex.org/W7213759377","https://openalex.org/W4411394384","https://openalex.org/W188540260","https://openalex.org/W2128984831","https://openalex.org/W2122042104"],"abstract_inverted_index":{"Incomplete":[0],"data":[1,36,157,169,307,391,430,822],"arises":[2],"frequently":[3,80],"in":[4,31,71,83,152,170,191,224,255,287,337,344,369,385,498,516,525,531,545,578,597,612,663,719,819],"health":[5],"research":[6],"studies":[7,276,491,686],"designed":[8],"to":[9,165,185,235,298,362,416,452,513,527,574,591,695,722,807],"investigate":[10],"the":[11,32,56,92,109,117,123,129,208,212,225,239,245,256,259,279,305,338,353,364,370,386,395,428,442,461,467,475,480,484,505,528,553,564,583,594,598,601,613,616,630,633,648,653,658,661,664,669,701,710,751,761,799,820],"causal":[12,28,49,60,68,76,94,188,334,366,444,555,603,618,753],"relationship":[13],"between":[14],"a":[15,20,98,105,171,177,233,265,288,356,403,521,644,675,757],"treatment":[16,217,764,769],"or":[17,765],"exposure,":[18],"and":[19,40,122,128,211,232,270,294,347,394,420,515,547,668,680,693,783,797,816],"response":[21,100,124,226,387,809,814],"of":[22,34,58,81,97,104,145,238,258,272,326,340,355,372,380,448,483,500,504,507,523,552,559,566,607,622,632,652,660,682,700,727,746,750,756,763,781,789],"interest.":[23,449,560,623],"Statistical":[24],"methods":[25,45,89,149,164,529,544,590,627,712,801],"for":[26,46,90,101,150,207,216,267,331,418,427,576,628,646,666,677,812],"conditional":[27,67,333,481,554,602],"effect":[29,50,335],"parameters":[30,336,506,662],"setting":[33,155,291,339,371,581,599,614],"incomplete":[35,168,209,341,396,421,429,485],"have":[37,714],"been":[38,715],"developed,":[39],"we":[41,140,321,538,795],"expand":[42],"upon":[43],"these":[44],"estimating":[47,91,182,250,282,332,466,479,647],"marginal":[48,59,75,93,187,365,443,617,634,752],"parameters.":[51],"This":[52],"thesis":[53],"focuses":[54],"on":[55],"estimation":[57,257,551,659,749],"odds":[61,69,77,95,189,367,445,556,604,619,636,754],"ratios,":[62],"which":[63,425,655],"are":[64,79,126,158,222,230,411,717,775],"distinct":[65],"from":[66,638],"ratios":[70,78,190,637],"logistic":[72],"regression":[73],"models;":[74],"interest":[82,747],"population":[84],"studies.":[85],"We":[86,160,174,263,350,561,588,624,642,673,732,803],"introduce":[87,176],"three":[88,711,800],"ratio":[96,368,446,557,605,620,755],"binary":[99,127],"different":[102,808],"levels":[103],"subgroup":[106,110,118,130,198,374,397,486,584],"variable,":[107,119,487],"where":[108,156,195,460,550,582,600,615],"variable":[111,121,125,131,199,398,585],"is":[112,132,200,243,253,285,296,309,314,392,399,431,438,447,458,488,496,511,520,558,586,606,621,691,704,748,770],"incomplete.":[113,201,587],"In":[114,376],"each":[115,639],"chapter,":[116],"exposure":[120],"missing":[133,306,373,813],"at":[134],"random.":[135],"\\n":[136,317,534,791],"\\nIn":[137,318,535,707,792],"Chapter":[138,319,532,536,708,793],"2,":[139],"begin":[141,322,539],"with":[142,167,292,323,569,740],"an":[143,153,192,196,324,327,435,579,720,723,737],"overview":[144,325],"inverse":[146,179,203,408,469,571],"probability":[147,180,204,409,470,572],"weighted":[148,181,281,358,817],"confounding":[151,313,419,577],"observational":[154,193,348,548,580,724],"complete.":[159],"also":[161,301,804],"briefly":[162],"review":[163],"deal":[166],"randomized":[172,346,546],"setting.":[173,823],"then":[175,351,562],"doubly":[178,280,357],"equation":[183,283],"approach":[184,284,330,361,437],"estimate":[186,363],"setting,":[194],"important":[197,773],"One":[202],"weight":[205,214,424,573,665],"accounts":[206,215,426],"data,":[210,343,815],"other":[213],"selection.":[218],"Only":[219],"complete":[220,382],"cases":[221],"included":[223],"model.":[227],"Consistency":[228],"results":[229],"derived,":[231],"method":[234,266,451,495,645,676,690],"obtain":[236,453],"estimates":[237,457,503,631],"asymptotic":[240,260,454,649],"standard":[241,261,455,626,650,744],"error":[242,456,651],"introduced;":[244],"extra":[246,462],"variability":[247,463,476],"introduced":[248,464,477,530,716],"by":[249,465,478,540],"two":[251,468],"weights":[252,410],"incorporated":[254],"error.":[262],"give":[264,674],"hypothesis":[268,678],"testing":[269,679],"calculation":[271,681],"confidence":[273,683],"intervals.":[274,684],"Simulation":[275,490,685],"show":[277,492,687],"that":[278,493,688,713],"effective":[286,497],"non-ignorable":[289],"missingness":[290],"confounding,":[293,667],"it":[295,510],"straightforward":[297,694],"implement.":[299],"It":[300],"performs":[302],"well":[303,473,610],"when":[304,312],"process":[308],"ignorable,":[310],"and/or":[311],"not":[315],"present.":[316],"3,":[320],"EM":[328,436],"algorithm":[329,360],"covariate":[342],"both":[345,657],"settings.":[349],"propose":[352,563,643],"use":[354,565,625],"EM-type":[359],"data.":[375,422],"this":[377,494,689],"method,":[378],"instead":[379],"using":[381,402],"case":[383],"analysis":[384],"model,":[388],"all":[389],"available":[390],"used":[393,412,718],"\u201cfilled":[400],"in\u201d":[401],"maximum":[404],"likelihood":[405],"approach.":[406],"Two":[407],"here":[413],"as":[414,472,474,609,611],"well,":[415],"account":[417,575],"The":[423,772],"needed,":[432],"even":[433],"though":[434],"being":[439],"used,":[440],"because":[441],"A":[450],"given":[459],"weights,":[471],"expectation":[482],"incorporated.":[489],"terms":[499],"obtaining":[501],"consistent":[502],"interest;":[508],"however":[509],"difficult":[512],"implement,":[514,696],"certain":[517],"settings":[518],"there":[519],"loss":[522],"efficiency":[524],"comparison":[526],"2.":[533],"4,":[537],"reviewing":[541],"multiple":[542,567],"imputation":[543,568,595,702],"settings,":[549],"one":[570],"discuss":[589,805],"correctly":[592],"specify":[593],"model":[596,703],"interest,":[608],"combining":[629],"log":[635],"imputed":[640,671],"dataset.":[641],"estimates,":[654],"incorporates":[656],"multiply":[670],"datasets.":[672],"efficient":[692],"but":[697],"correct":[698],"specification":[699],"necessary.":[705],"\\n\\t":[706],"5,":[709],"application":[721],"cohort":[725],"study":[726],"418":[728],"colorectal":[729],"cancer":[730],"patients.":[731],"compare":[733,796],"patients":[734,741,777,785],"who":[735,742],"received":[736,743],"experimental":[738],"chemotherapy":[739],"chemotherapy;":[745],"thrombotic":[758],"event":[759],"during":[760],"course":[762],"30":[766],"days":[767],"after":[768],"discontinued.":[771],"subgroups":[774],"(i)":[776],"receiving":[778,786],"first":[779],"line":[780,788],"treatment,":[782],"(ii)":[784],"second":[787],"treatment.":[790],"6,":[794],"contrast":[798],"proposed.":[802],"extensions":[806],"models,":[810],"models":[811,818],"longitudinal":[821]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-04-11T00:00:00"}
