{"id":"https://openalex.org/W1900991021","doi":null,"title":"Statistical Methods for Comparative Effectiveness Research of Medical Devices","display_name":"Statistical Methods for Comparative Effectiveness Research of Medical Devices","publication_year":2014,"publication_date":"2014-11-19","ids":{"openalex":"https://openalex.org/W1900991021","mag":"1900991021"},"language":"en","primary_location":{"id":"pmh:oai:dash.harvard.edu:1/14226082","doi":null,"is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","pdf_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis or Dissertation"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023491741","display_name":"Lauren M. Kunz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lauren Kunz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5023491741"],"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":0.7484999895095825,"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":0.7484999895095825,"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":0.1949000060558319,"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.013199999928474426,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/comparative-effectiveness-research","display_name":"comparative effectiveness research","score":0.9169999957084656},{"id":"https://openalex.org/keywords/medical-devices","display_name":"medical devices","score":0.9950000047683716},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.9649999737739563},{"id":"https://openalex.org/keywords/potential-outcomes-framework","display_name":"potential outcomes framework","score":0.9309999942779541},{"id":"https://openalex.org/keywords/propensity-score-methods","display_name":"propensity score methods","score":0.8339999914169312},{"id":"https://openalex.org/keywords/g-computation","display_name":"g-computation","score":0.9860000014305115},{"id":"https://openalex.org/keywords/targeted-maximum-likelihood-estimation","display_name":"targeted maximum likelihood estimation","score":0.996999979019165},{"id":"https://openalex.org/keywords/bias-in-meta-analysis","display_name":"meta-analysis bias","score":0.8100000023841858},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.7409999966621399},{"id":"https://openalex.org/keywords/stepped-wedge-design","display_name":"stepped wedge design","score":0.9470000267028809},{"id":"https://openalex.org/keywords/romberg-integration","display_name":"Romberg integration","score":0.8320000171661377},{"id":"https://openalex.org/keywords/hospital-clustering","display_name":"hospital clustering","score":0.4059999883174896},{"id":"https://openalex.org/keywords/surgical-revascularization","display_name":"surgical revascularization","score":0.7099999785423279}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6445913314819336},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6110091805458069},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.605177104473114},{"id":"https://openalex.org/C2778111679","wikidata":"https://www.wikidata.org/wiki/Q5155639","display_name":"Comparative effectiveness research","level":3,"score":0.6005626916885376},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5487006306648254},{"id":"https://openalex.org/C35981017","wikidata":"https://www.wikidata.org/wiki/Q6060409","display_name":"Inverse probability","level":4,"score":0.5444066524505615},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5170186758041382},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.49534860253334045},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4868268370628357},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4488426446914673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4400864243507385},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4103230834007263},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37058258056640625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36892178654670715},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32785743474960327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23410815000534058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1821635365486145},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.15537148714065552},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:dash.harvard.edu:1/14226082","doi":null,"is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","pdf_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis or Dissertation"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1005.5247","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1005.5247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dash.harvard.edu/bitstream/handle/1/14226082/KUNZ-DISSERTATION-2015.pdf?sequence%3D1","raw_type":"text"},{"id":"mag:1900991021","doi":null,"is_oa":false,"landing_page_url":"https://dash.harvard.edu/bitstream/handle/1/14226082/KUNZ-DISSERTATION-2015.pdf?sequence=1","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:dash.harvard.edu:1/14226082","doi":null,"is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","pdf_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082","source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis or Dissertation"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8199999928474426}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332163","display_name":"U.S. Food and Drug Administration","ror":"https://ror.org/034xvzb47"},{"id":"https://openalex.org/F4320332382","display_name":"Oak Ridge Institute for Science and Education","ror":"https://ror.org/0526p1y61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1900991021.pdf","grobid_xml":"https://content.openalex.org/works/W1900991021.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1494853941","https://openalex.org/W1517555081","https://openalex.org/W1521836421","https://openalex.org/W1572302037","https://openalex.org/W1587990062","https://openalex.org/W1976887311","https://openalex.org/W1978108654","https://openalex.org/W1979423827","https://openalex.org/W1982910299","https://openalex.org/W1985787417","https://openalex.org/W1988771307","https://openalex.org/W1989377468","https://openalex.org/W1997780004","https://openalex.org/W1999822211","https://openalex.org/W2001855995","https://openalex.org/W2002043275","https://openalex.org/W2002070752","https://openalex.org/W2009187570","https://openalex.org/W2020812519","https://openalex.org/W2022450888","https://openalex.org/W2028040032","https://openalex.org/W2030614017","https://openalex.org/W2031787382","https://openalex.org/W2032039690","https://openalex.org/W2034309896","https://openalex.org/W2039811614","https://openalex.org/W2052513269","https://openalex.org/W2052567024","https://openalex.org/W2056639438","https://openalex.org/W2060637042","https://openalex.org/W2066735350","https://openalex.org/W2067403899","https://openalex.org/W2075642745","https://openalex.org/W2075787687","https://openalex.org/W2082299845","https://openalex.org/W2083327784","https://openalex.org/W2088095316","https://openalex.org/W2090326997","https://openalex.org/W2090736013","https://openalex.org/W2093130286","https://openalex.org/W2097317208","https://openalex.org/W2098364806","https://openalex.org/W2101754128","https://openalex.org/W2102614609","https://openalex.org/W2102915777","https://openalex.org/W2104478709","https://openalex.org/W2114288283","https://openalex.org/W2116739230","https://openalex.org/W2118002846","https://openalex.org/W2130907431","https://openalex.org/W2132917208","https://openalex.org/W2133531206","https://openalex.org/W2138909292","https://openalex.org/W2143457654","https://openalex.org/W2150291618","https://openalex.org/W2152181392","https://openalex.org/W2153539857","https://openalex.org/W2154900483","https://openalex.org/W2155163959","https://openalex.org/W2157784218","https://openalex.org/W2158881916","https://openalex.org/W2168458505","https://openalex.org/W2168639902","https://openalex.org/W2171443468","https://openalex.org/W2476097255","https://openalex.org/W2507814050","https://openalex.org/W2761665523","https://openalex.org/W3121366158","https://openalex.org/W3122843734","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W7100615592","https://openalex.org/W7101108559","https://openalex.org/W2346594475","https://openalex.org/W7098810159","https://openalex.org/W2115945798","https://openalex.org/W7096490946","https://openalex.org/W2005255233","https://openalex.org/W7100715201","https://openalex.org/W7096353819","https://openalex.org/W1992643093"],"abstract_inverted_index":{"A":[0],"recent":[1],"focus":[2],"in":[3,47,64,133,209,315],"health":[4],"care":[5],"policy":[6],"is":[7,206,232,250,330],"on":[8,131,341],"comparative":[9,29,40,157],"effectiveness":[10,30,41],"of":[11,26,50,67,97,124,151,161,171,182,201,229,246,295,324],"treatments--from":[12],"drugs":[13],"to":[14,17,148,155,252,271,290,312,333],"behavioral":[15],"interventions":[16],"medical":[18,53],"devices.":[19,54,297],"Medical":[20],"devices":[21,247,267],"bring":[22],"a":[23,72,119,244,279,316,322],"unique":[24],"set":[25],"challenges":[27],"for":[28,39,61,79,175,198,221,242],"research.":[31],"In":[32,55,114,234,276],"this":[33],"dissertation,":[34],"I":[35,58,117,167,237,298],"develop":[36],"statistical":[37,111,240],"methods":[38,220],"estimation":[42,104],"and":[43,100,107,110,121,184,189,227,255,261],"illustrate":[44],"the":[45,48,65,149,169,172,180,192,202,207,210,225,230,239,259,266,293,300,327,342],"methodology":[46],"context":[49,66],"three":[51],"different":[52],"chapter":[56,115,235],"2,":[57],"review":[59],"approaches":[60],"causal":[62,109],"inference":[63,132],"observational":[68],"cohort":[69],"studies,":[70],"utilizing":[71],"potential":[73],"outcomes":[74],"framework":[75],"demonstrated":[76],"using":[77,179,305],"data":[78],"patients":[80,186,254],"undergoing":[81],"revascularization":[82],"surgery":[83],"with":[84,218],"radial":[85],"versus":[86],"femoral":[87],"artery":[88],"access.":[89],"Propensity":[90],"score":[91],"methods;":[92],"G-computation;":[93],"augmented":[94],"inverse":[95],"probability":[96],"treatment":[98,129,144],"weighting;":[99],"targeted":[101],"maximum":[102],"likelihood":[103],"are":[105,268],"implemented":[106],"their":[108],"assumptions":[112],"evaluated.":[113],"3,":[116],"undertake":[118],"theoretical":[120,303],"simulation-based":[122],"assessment":[123],"differential":[125],"follow-up":[126,141,205],"information":[127],"per":[128,187],"arm":[130,188],"meta-analysis":[134],"where":[135,265],"applied":[136,147],"researchers":[137],"commonly":[138],"assume":[139],"similar":[140],"duration":[142],"across":[143],"groups.":[145],"When":[146],"implantation":[150],"cardiovascular":[152],"resynchronization":[153],"therapies":[154],"examine":[156,238],"survival,":[158],"only":[159],"3":[160],"8":[162],"studies":[163,217],"report":[164],"arm-specific":[165],"follow-up.":[166],"derive":[168],"bias":[170,193,231],"rate":[173],"ratio":[174],"an":[176],"individual":[177],"study":[178,245],"number":[181],"deaths":[183],"total":[185],"show":[190],"that":[191,204],"can":[194],"be":[195,272,288],"large,":[196],"even":[197],"modest":[199],"violations":[200],"assumption":[203],"same":[208],"two":[211],"arms.":[212],"Furthermore,":[213],"when":[214,248],"pooling":[215],"multiple":[216],"Bayesian":[219],"random":[222,310],"effects":[223,311],"meta-analysis,":[224],"direction":[226],"magnitude":[228],"unpredictable.":[233],"4,":[236],"power":[241,304,314],"designing":[243],"it":[249],"difficult":[251],"blind":[253],"providers,":[256],"everyone":[257],"wants":[258],"device,":[260],"clustering":[262],"by":[263],"hospitals":[264],"implanted":[269],"needs":[270],"taken":[273],"into":[274],"account.":[275],"these":[277],"situations,":[278],"stepped":[280],"wedge":[281],"design":[282,286,325],"(SWD)":[283],"cluster":[284,309],"randomized":[285],"may":[287],"used":[289],"rigorously":[291],"assess":[292],"roll-out":[294],"novel":[296],"determine":[299],"exact":[301,328],"asymptotic":[302],"Romberg":[306],"integration":[307],"over":[308],"calculate":[313],"two-treatment,":[317],"binary":[318],"outcome":[319],"SWD.":[320],"Over":[321],"range":[323],"parameters,":[326],"method":[329],"from":[331],"9%":[332],"2.4":[334],"times":[335],"more":[336],"efficient":[337],"than":[338],"designs":[339],"based":[340],"existing":[343],"method.":[344]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}