{"id":"https://openalex.org/W160909810","doi":null,"title":"Explicit Influence Analysis in Crossover Models","display_name":"Explicit Influence Analysis in Crossover Models","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W160909810","mag":"160909810"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:su-107703","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107703","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030406774","display_name":"Chengcheng Hao","orcid":"https://orcid.org/0000-0002-5561-884X","observed_orcids":["https://orcid.org/0000-0002-5561-884X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chengcheng Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5030406774"],"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.6518999934196472,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.6518999934196472,"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":0.26269999146461487,"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":0.028699999675154686,"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/influence-diagnostics","display_name":"influence diagnostics","score":0.953000009059906},{"id":"https://openalex.org/keywords/crossover-design","display_name":"crossover design","score":0.8930000066757202},{"id":"https://openalex.org/keywords/linear-mixed-models","display_name":"linear mixed models","score":0.8980000019073486},{"id":"https://openalex.org/keywords/treatment-effect-estimation","display_name":"treatment effect estimation","score":0.6690000295639038},{"id":"https://openalex.org/keywords/count-data","display_name":"count data","score":0.8960000276565552},{"id":"https://openalex.org/keywords/pearson-residuals","display_name":"Pearson residuals","score":0.8730000257492065}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.48192501068115234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3640276789665222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35305193066596985},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3443073630332947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20730027556419373}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:su-107703","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107703","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"mag:160909810","doi":null,"is_oa":false,"landing_page_url":"http://su.diva-portal.org/smash/get/diva2:750044/FULLTEXT01","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:DiVA.org:su-107703","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107703","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W15349034","https://openalex.org/W142564960","https://openalex.org/W158705429","https://openalex.org/W623109190","https://openalex.org/W1410350041","https://openalex.org/W1490768654","https://openalex.org/W1498065827","https://openalex.org/W1528905581","https://openalex.org/W1533179050","https://openalex.org/W1731170659","https://openalex.org/W1968473409","https://openalex.org/W1970130865","https://openalex.org/W1972140732","https://openalex.org/W1978616011","https://openalex.org/W1979478601","https://openalex.org/W1980601605","https://openalex.org/W1982585616","https://openalex.org/W1987165199","https://openalex.org/W1987205550","https://openalex.org/W1988318876","https://openalex.org/W1998613841","https://openalex.org/W2002288054","https://openalex.org/W2003746747","https://openalex.org/W2007817088","https://openalex.org/W2009894567","https://openalex.org/W2013194198","https://openalex.org/W2020214980","https://openalex.org/W2033748464","https://openalex.org/W2034538470","https://openalex.org/W2037736414","https://openalex.org/W2043483607","https://openalex.org/W2047092781","https://openalex.org/W2048997388","https://openalex.org/W2049633694","https://openalex.org/W2053738052","https://openalex.org/W2063318435","https://openalex.org/W2064422634","https://openalex.org/W2068618230","https://openalex.org/W2070224197","https://openalex.org/W2081179957","https://openalex.org/W2081864579","https://openalex.org/W2083041006","https://openalex.org/W2086188463","https://openalex.org/W2090450600","https://openalex.org/W2098179301","https://openalex.org/W2112126852","https://openalex.org/W2113037126","https://openalex.org/W2116063176","https://openalex.org/W2117441588","https://openalex.org/W2118840867","https://openalex.org/W2142045810","https://openalex.org/W2145147745","https://openalex.org/W2145816995","https://openalex.org/W2149860264","https://openalex.org/W2151754346","https://openalex.org/W2153732977","https://openalex.org/W2153835394","https://openalex.org/W2155178460","https://openalex.org/W2157506518","https://openalex.org/W2162837955","https://openalex.org/W2166176674","https://openalex.org/W2167092443","https://openalex.org/W2316369293","https://openalex.org/W2328608067","https://openalex.org/W2334214961","https://openalex.org/W2424636481","https://openalex.org/W2627091812","https://openalex.org/W2725831711","https://openalex.org/W2796616088","https://openalex.org/W2797659692","https://openalex.org/W2798172935","https://openalex.org/W2799871200","https://openalex.org/W2801991198","https://openalex.org/W4300794382"],"related_works":["https://openalex.org/W2020804864","https://openalex.org/W1731170659","https://openalex.org/W2173488309","https://openalex.org/W597418987","https://openalex.org/W400427247","https://openalex.org/W285929054","https://openalex.org/W7100532996","https://openalex.org/W2031863526","https://openalex.org/W2083041006","https://openalex.org/W633902452"],"abstract_inverted_index":{"This":[0],"dissertation":[1,61],"develops":[2],"influence":[3,68,80,112,128,210,225,243],"diagnostics":[4,69],"for":[5,247],"crossover":[6,25,116,135,143,154,220,245],"models.":[7,76,155],"Mixed":[8],"linear":[9,14,199],"models":[10,15,117,144,246],"and":[11,21,87,110,162,187,250],"generalised":[12],"mixed":[13,75],"are":[16,55,118,145,168,194,237,255],"utilised":[17],"to":[18,48,83,152,228,239],"investigate":[19],"continuous":[20,134,249],"count":[22,219,251],"data":[23],"from":[24,178],"studies,":[26],"respectively.":[27,123],"For":[28],"both":[29,248],"types":[30],"of":[31,39,51,59,67,72,103,106,129,165,175,190,201,232,242],"models,":[32],"changes":[33],"in":[34,42,63,101,113,120,131,142,216,257],"the":[35,43,52,64,73,78,85,95,99,127,150,159,172,185,197,202,212,217,229,233],"maximum":[36],"likelihood":[37],"estimates":[38],"parameters,":[40],"particularly":[41],"estimated":[44,213],"treatment":[45,214],"effect,":[46],"due":[47],"minor":[49],"perturbations":[50,141],"observed":[53],"data,":[54],"assessed.":[56],"The":[57,108,224],"novelty":[58],"this":[60],"lies":[62],"analytical":[65],"derivation":[66],"using":[70],"decompositions":[71],"perturbed":[74],"Consequently,":[77],"suggested":[79],"diagnostics,":[81],"referred":[82],"as":[84],"delta-beta":[86,109,161,186,209],"variance-ratio":[88,111,163,188],"influences,":[89],"provide":[90],"new":[91],"findings":[92],"about":[93],"how":[94],"constructed":[96,203],"residuals":[97,231],"affect":[98],"estimation":[100],"terms":[102],"different":[104,115,179],"parameters":[105],"interest.":[107],"three":[114],"studied":[119],"Chapters":[121,181],"5-6,":[122],"Chapter":[124,147,206],"5":[125],"analyses":[126],"subjects":[130,177],"a":[132,166,191],"two-period":[133,218],"model.":[136],"Possible":[137],"problems":[138],"with":[139],"observation-level":[140],"discussed.":[146],"6":[148],"extends":[149],"approach":[151],"higher-order":[153],"Furthermore,":[156],"not":[157],"only":[158],"individual":[160],"influences":[164,174,189],"subject":[167],"derived,":[169],"but":[170],"also":[171],"joint":[173],"two":[176],"sequences.":[180],"5-6":[182],"show":[183],"that":[184],"particular":[192],"parameter":[193],"decided":[195],"by":[196],"special":[198],"combination":[200],"residuals.":[204],"In":[205],"7,":[207],"explicit":[208],"on":[211],"effect":[215],"model":[221],"is":[222,226],"derived.":[223],"related":[227],"Pearson":[230],"subject.":[234],"Graphical":[235],"tools":[236],"developed":[238],"visualise":[240],"information":[241],"concerning":[244],"data.":[252],"Illustrative":[253],"examples":[254],"provided":[256],"each":[258],"chapter.":[259]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}