{"id":"https://openalex.org/W148639441","doi":"https://doi.org/10.1007/978-3-642-57489-4_29","title":"CAnoVa\u00a9 a Software for Causal Modeling","display_name":"CAnoVa\u00a9 a Software for Causal Modeling","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W148639441","doi":"https://doi.org/10.1007/978-3-642-57489-4_29","mag":"148639441"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_29","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"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/A5088487437","display_name":"Olivia W\u00fcthrich-Martone","orcid":null},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Olivia W\u00fcthrich-Martone","raw_affiliation_strings":["Institute of Psychology, Friedrich Schiller University, Am Steiger 3, Haus 1, D-07743, Jena, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Psychology, Friedrich Schiller University, Am Steiger 3, Haus 1, D-07743, Jena, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077576395","display_name":"Christof Nachtigall","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christof Nachtigall","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076700331","display_name":"Marc F. M\u00fcller","orcid":"https://orcid.org/0000-0001-6406-8184"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc M\u00fcller","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071592056","display_name":"Rolf Steyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rolf Steyer","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088487437"],"corresponding_institution_ids":["https://openalex.org/I76198965"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07345361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9776999950408936,"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":0.9714000225067139,"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/confounding","display_name":"Confounding","score":0.8011452555656433},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.597917914390564},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5336576104164124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5225048661231995},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5168519616127014},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.49068915843963623},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4773138463497162},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4350605607032776},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31251877546310425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27537381649017334}],"concepts":[{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.8011452555656433},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.597917914390564},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5336576104164124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5225048661231995},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5168519616127014},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.49068915843963623},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4773138463497162},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4350605607032776},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31251877546310425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27537381649017334},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-57489-4_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_29","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W43749548","https://openalex.org/W1978108654","https://openalex.org/W2082316650","https://openalex.org/W2132917208","https://openalex.org/W2329020306","https://openalex.org/W4238306122","https://openalex.org/W6701653425"],"related_works":["https://openalex.org/W3023719900","https://openalex.org/W4287798354","https://openalex.org/W2161504683","https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W4294555408","https://openalex.org/W4378718308","https://openalex.org/W4372260129","https://openalex.org/W1153243621","https://openalex.org/W4299782962"],"abstract_inverted_index":{"The":[0,69],"new":[1],"impulse":[2],"given":[3],"in":[4,30,109],"the":[5,9,21,38,51],"last":[6],"decade":[7],"to":[8,20,75,100],"theory":[10],"of":[11,53,71,88,111],"individual":[12],"and":[13,26,28,42,62,98,104,117],"average":[14],"causal":[15,43,67,81,106],"effects":[16,107],"is":[17,74,93],"mostly":[18],"due":[19],"approach":[22,46],"developed":[23],"by":[24],"Steyer":[25],"others":[27],"resulted":[29],"valuable":[31],"theoretical":[32],"results":[33],"such":[34],"as,":[35],"for":[36,50,57,60,63,65,80,102,105],"example,":[37],"link":[39],"between":[40],"unconfoundedness":[41],"unbiasedness.":[44],"This":[45],"has":[47],"also":[48],"allowed":[49],"development":[52],"different":[54],"practical":[55],"procedures":[56],"both":[58],"testing":[59,64],"confounding":[61,103],"(average)":[66],"effects.":[68],"scope":[70],"this":[72],"contribution":[73],"present":[76],"CAnoVa,":[77],"a":[78,85],"software":[79],"modeling":[82],"that":[83],"allows":[84,99],"straightforward":[86],"use":[87],"these":[89],"two":[90],"methods.":[91],"CAnoVa":[92],"fully":[94],"compatible":[95],"with":[96,113],"SPSS":[97],"test":[101],"even":[108],"case":[110],"designs":[112],"multiple":[114,118],"treatment":[115],"variables":[116],"confounders.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
