{"id":"https://openalex.org/W2178346367","doi":null,"title":"Matching methods for biomarker evaluation: a mapping with causal inference","display_name":"Matching methods for biomarker evaluation: a mapping with causal inference","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2178346367","mag":"2178346367"},"language":"en","primary_location":{"id":"mag:2178346367","doi":null,"is_oa":false,"landing_page_url":"http://works.bepress.com/cgi/viewcontent.cgi?article=1099&context=debashis_ghosh","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},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100625252","display_name":"Debashis Ghosh","orcid":"https://orcid.org/0000-0001-6618-1316","observed_orcids":["https://orcid.org/0000-0001-6618-1316"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debashis Ghosh","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6618-1316","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091086026","display_name":"Michael S. Sabel","orcid":"https://orcid.org/0000-0001-9215-2914","observed_orcids":["https://orcid.org/0000-0001-9215-2914"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael S. Sabel","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9215-2914","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":false,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9448000192642212,"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":0.9448000192642212,"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":0.021299999207258224,"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/T10136","display_name":"Statistical Methods and Inference","score":0.009600000455975533,"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/matching","display_name":"matching","score":0.8059999942779541},{"id":"https://openalex.org/keywords/biomarker-analysis","display_name":"biomarker analysis","score":0.9290000200271606},{"id":"https://openalex.org/keywords/confounding","display_name":"confounding","score":0.6859999895095825},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.9279999732971191},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.7699999809265137},{"id":"https://openalex.org/keywords/mitotic-rate","display_name":"mitotic activity","score":0.9269999861717224},{"id":"https://openalex.org/keywords/sentinel-lymph-node","display_name":"sentinel lymph node","score":0.9300000071525574},{"id":"https://openalex.org/keywords/melanoma","display_name":"melanoma","score":0.9940000176429749}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6651862859725952},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.5778831839561462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5668642520904541},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5652630925178528},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5372658967971802},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.5296869874000549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5022189617156982},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.47904860973358154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45966657996177673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36931198835372925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3051379323005676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22961938381195068},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07925179600715637},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2178346367","doi":null,"is_oa":false,"landing_page_url":"http://works.bepress.com/cgi/viewcontent.cgi?article=1099&context=debashis_ghosh","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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7246000170707703,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W253646976","https://openalex.org/W1492818624","https://openalex.org/W1539462193","https://openalex.org/W1554944419","https://openalex.org/W1972134466","https://openalex.org/W1977090890","https://openalex.org/W1982615924","https://openalex.org/W1996351770","https://openalex.org/W2002595054","https://openalex.org/W2015342075","https://openalex.org/W2026086741","https://openalex.org/W2032783617","https://openalex.org/W2045030989","https://openalex.org/W2065121870","https://openalex.org/W2090578816","https://openalex.org/W2090587117","https://openalex.org/W2095334503","https://openalex.org/W2108284772","https://openalex.org/W2112316706","https://openalex.org/W2113582256","https://openalex.org/W2116943185","https://openalex.org/W2121514893","https://openalex.org/W2132917208","https://openalex.org/W2139577967","https://openalex.org/W2147217939","https://openalex.org/W2150291618","https://openalex.org/W2155163959","https://openalex.org/W2157995113","https://openalex.org/W2168639902","https://openalex.org/W2171443468","https://openalex.org/W2517346518","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W2158912320","https://openalex.org/W2894814486","https://openalex.org/W2113582256","https://openalex.org/W2997553845","https://openalex.org/W2472426981","https://openalex.org/W2028442196","https://openalex.org/W4416535159","https://openalex.org/W4233637714","https://openalex.org/W379462883","https://openalex.org/W25145208"],"abstract_inverted_index":{"In":[0,42,118],"many":[1],"medical":[2],"settings,":[3],"there":[4],"is":[5,157],"interest":[6],"in":[7,54,60,115,178],"evaluating":[8,162],"the":[9,33,50,61,75,84,95,104,116,144,163,169],"predictive":[10],"ability":[11],"of":[12,35,52,74,94,98,103,165,171],"a":[13,91,101,131],"candidate":[14],"biomarker":[15,62,85,145],"while":[16],"adjusting":[17],"appropriately":[18],"for":[19,40,168],"confounding":[20],"factors.":[21],"Recently,":[22],"Janes":[23],"and":[24,147],"Pepe":[25],"(2008,":[26],"Biometrics":[27],"64:":[28],"1":[29],"\u2013":[30],"9)":[31],"evaluated":[32],"effects":[34],"matching":[36,53,78,99,126],"on":[37,77],"classification":[38],"accuracy":[39],"biomarkers.":[41],"this":[43],"article,":[44],"we":[45,120],"note":[46],"an":[47,123],"analogy":[48],"between":[49],"use":[51],"causal":[55,80,139],"inference":[56,140],"with":[57,127,159],"its":[58],"role":[59,164],"evaluation":[63,86],"problem.":[64,87],"This":[65,88],"leads":[66,89],"us":[67],"to":[68,71,83,90,125,137,143,161],"be":[69],"able":[70],"import":[72],"much":[73],"literature":[76],"from":[79],"inferential":[81],"settings":[82],"theoretical":[92],"characterization":[93],"bias":[96,108],"properties":[97],"using":[100,130],"modification":[102],"concept":[105],"equal":[106],"percent":[107],"reduction":[109],"that":[110],"has":[111],"been":[112],"previously":[113],"developed":[114],"literature.":[117],"addition,":[119],"can":[121],"develop":[122],"approach":[124],"multiple":[128],"confounders":[129],"\u2018reverse":[132],"propensity":[133],"score.\u2019":[134],"Assumptions":[135],"relevant":[136],"proper":[138],"are":[141,153],"adapted":[142],"problem,":[146],"various":[148],"tree-based":[149],"regression":[150],"modelling":[151],"diagnostics":[152],"developed.":[154],"The":[155],"methodology":[156],"illustrated":[158],"application":[160],"mitotic":[166],"rate":[167],"discrimination":[170],"sentinel":[172],"lymph":[173],"node":[174],"(SLN)":[175],"positive":[176],"cases":[177],"melanoma.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}