{"id":"https://openalex.org/W2186354550","doi":null,"title":"PROC COMPARE - Worth Another Look!","display_name":"PROC COMPARE - Worth Another Look!","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2186354550","mag":"2186354550"},"language":"en","primary_location":{"id":"mag:2186354550","doi":null,"is_oa":false,"landing_page_url":"https://analytics.ncsu.edu/sesug/2011/BB12.Williams.pdf","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","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/A5076258077","display_name":"Christopher S. Williams","orcid":"https://orcid.org/0000-0002-1541-579X","observed_orcids":["https://orcid.org/0000-0002-1541-579X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christopher S. Williams","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5076258077"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19696512,"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/T13820","display_name":"SAS software applications and methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13820","display_name":"SAS software applications and methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.0,"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/sas","display_name":"SAS","score":0.4860000014305115},{"id":"https://openalex.org/keywords/data-comparison","display_name":"data comparison","score":0.7699999809265137},{"id":"https://openalex.org/keywords/data-validation","display_name":"data validation","score":0.796999990940094},{"id":"https://openalex.org/keywords/data-cleaning","display_name":"data cleaning","score":0.9739999771118164},{"id":"https://openalex.org/keywords/longitudinal-analysis","display_name":"longitudinal analysis","score":0.5009999871253967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414127588272095},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6361851692199707},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.6266655921936035},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5847049951553345},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5684108734130859},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5662412643432617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5142635703086853},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5004734992980957},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4404793679714203},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.41647398471832275},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3389558792114258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1345890760421753},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12619182467460632},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11964967846870422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10573247075080872},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2186354550","doi":null,"is_oa":false,"landing_page_url":"https://analytics.ncsu.edu/sesug/2011/BB12.Williams.pdf","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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2185518248","https://openalex.org/W2185551831","https://openalex.org/W2182160090","https://openalex.org/W2183889156","https://openalex.org/W2189006340","https://openalex.org/W2182222975","https://openalex.org/W2185713301","https://openalex.org/W7099270437","https://openalex.org/W2187399407","https://openalex.org/W7099780175"],"abstract_inverted_index":{"PROC":[0,29,89,122],"COMPARE":[1,30,123],"is":[2,142],"one":[3,98],"of":[4,38,76,85,97,131,169,172],"those":[5],"workhorse":[6],"procedures":[7],"in":[8,149],"the":[9,45,170],"Base":[10],"SAS":[11,39,62],"\u00ae":[12],"closet":[13],"that":[14,139],"deserves":[15],"to":[16,94,100,116,166],"be":[17,92,114],"dusted":[18],"off,":[19],"tuned":[20],"up":[21],"and":[22,32,59,73,79,112,136,152],"pressed":[23],"into":[24],"service":[25],"again!":[26],"With":[27],"well-chosen":[28],"options":[31,109],"statements,":[33],"you":[34,55,164],"can":[35,56,90,113],"compare":[36,95],"pairs":[37],"datasets":[40],"at":[41],"multiple":[42],"levels":[43,84],"without":[44],"need":[46],"for":[47,128,154],"DATA":[48],"step":[49],"MERGEs":[50],"or":[51],"SQL":[52],"JOINs.":[53],"Specifically,":[54],"identify":[57],"differences":[58],"similarities":[60],"across":[61],"data":[63,68,134,141,146],"sets":[64],"with":[65,144],"respect":[66],"to:":[67],"set":[69],"attributes;":[70,74],"variable":[71,80,99],"existence":[72,75],"matching":[77],"observations;":[78],"values":[81,96],"(at":[82],"user-specified":[83],"precision).":[86],"This":[87,119,159],"handy":[88],"even":[91,153],"used":[93],"another":[101],"within":[102],"a":[103,129],"dataset.":[104],"Additionally,":[105],"several":[106],"different":[107],"reporting":[108],"are":[110],"available":[111],"customized":[115],"project":[117],"needs.":[118],"flexibility":[120],"makes":[121],"an":[124],"extremely":[125],"useful":[126],"tool":[127],"variety":[130],"purposes,":[132],"including":[133],"cleaning":[135],"validation,":[137],"ensuring":[138],"new":[140],"consistent":[143],"\u201clegacy\u201d":[145],"(or":[147],"differs":[148],"expected":[150],"ways),":[151],"some":[155,168],"simple":[156],"longitudinal":[157],"analysis!":[158],"tutorial-style":[160],"paper":[161],"will":[162],"teach":[163],"how":[165],"harness":[167],"power":[171],"this":[173],"underappreciated":[174],"procedure!":[175]},"counts_by_year":[],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
