{"id":"https://openalex.org/W1490210778","doi":null,"title":"On Imputing Binary Data via Pairwise Associations and Corresponding Conditional Probabilities","display_name":"On Imputing Binary Data via Pairwise Associations and Corresponding Conditional Probabilities","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1490210778","mag":"1490210778"},"language":"en","primary_location":{"id":"mag:1490210778","doi":null,"is_oa":false,"landing_page_url":"https://www.turkiyeklinikleri.com/article/en-on-imputing-binary-data-via-pairwise-associations-and-corresponding-conditional-probabilities-62013.html","pdf_url":null,"source":{"id":"https://openalex.org/S2764929012","display_name":"Turkiye Klinikleri Journal of Biostatistics","issn_l":"1308-7894","issn":["1308-7894","2146-8877"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Turkiye Klinikleri Journal of Biostatistics","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/A5077814055","display_name":"Irene Helenowski","orcid":"https://orcid.org/0000-0003-1606-9013","observed_orcids":["https://orcid.org/0000-0003-1606-9013","https://orcid.org/0009-0007-1815-8331"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irene Helenowski","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1606-9013","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070974108","display_name":"Hakan Demirta\u015f","orcid":"https://orcid.org/0000-0003-2482-703X","observed_orcids":["https://orcid.org/0000-0003-2482-703X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hakan Demirta\u015f","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003963030","display_name":"Beyza Do\u011fanay Erdo\u011fan","orcid":"https://orcid.org/0000-0001-8845-2287","observed_orcids":["https://orcid.org/0000-0001-8845-2287"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beyza Do\u011fanay Erdo\u011fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5765,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67591432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9984999895095825,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9984999895095825,"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/T13141","display_name":"Statistical Methods and Applications","score":9.999999747378752e-05,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":9.999999747378752e-05,"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/multiple-imputation","display_name":"multiple imputation","score":0.8180000185966492},{"id":"https://openalex.org/keywords/tetrachoric-correlation","display_name":"tetrachoric correlation","score":0.7860000133514404},{"id":"https://openalex.org/keywords/phi-coefficient","display_name":"phi coefficient","score":0.625},{"id":"https://openalex.org/keywords/pairwise-association","display_name":"pairwise association","score":0.7269999980926514},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"conditional probability","score":0.7990000247955322},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5600000023841858},{"id":"https://openalex.org/keywords/joint-modeling","display_name":"joint modeling","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.6749035120010376},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6635248064994812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6421835422515869},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6291072368621826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6282477378845215},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.575144350528717},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5537319779396057},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.538048505783081},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4772360324859619},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.4551846385002136},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45032066106796265},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.44194769859313965},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4232599139213562},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4218132495880127},{"id":"https://openalex.org/C197656967","wikidata":"https://www.wikidata.org/wiki/Q17058458","display_name":"Marginal model","level":3,"score":0.41791003942489624},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.41211533546447754},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.15897181630134583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1490210778","doi":null,"is_oa":false,"landing_page_url":"https://www.turkiyeklinikleri.com/article/en-on-imputing-binary-data-via-pairwise-associations-and-corresponding-conditional-probabilities-62013.html","pdf_url":null,"source":{"id":"https://openalex.org/S2764929012","display_name":"Turkiye Klinikleri Journal of Biostatistics","issn_l":"1308-7894","issn":["1308-7894","2146-8877"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Turkiye Klinikleri Journal of Biostatistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1972991952","https://openalex.org/W1973907010","https://openalex.org/W1975207098","https://openalex.org/W1975846081","https://openalex.org/W1993323182","https://openalex.org/W2031668066","https://openalex.org/W2033886860","https://openalex.org/W2049406472","https://openalex.org/W2091560152","https://openalex.org/W2156267802","https://openalex.org/W2158310952","https://openalex.org/W2811486124"],"related_works":["https://openalex.org/W2018365137","https://openalex.org/W1982631144","https://openalex.org/W7056597900","https://openalex.org/W1974490130","https://openalex.org/W7168517822","https://openalex.org/W2483871873","https://openalex.org/W2349745719","https://openalex.org/W2962022921","https://openalex.org/W7215805882","https://openalex.org/W2400003710"],"abstract_inverted_index":{"ABS":[0],"TRACT":[1],"Objective:":[2],"In":[3],"this":[4,240],"work,":[5],"we":[6],"present":[7],"a":[8,47,52,68,244],"method":[9,140,242],"for":[10,202],"imputing":[11,248],"binary":[12,96,124,249],"data":[13,34,48,90,143,151,177,209,223,236,250],"without":[14],"making":[15],"any":[16],"multin":[17],"omial":[18],"or":[19,224],"loglinear":[20,255],"model":[21,256],"assumptions.":[22,257],"Material":[23],"and":[24,44,67,114,148,178,194,234,254],"Methods:":[25],"Our":[26],"approach":[27,246],"employs":[28],"principles":[29],"of":[30,82,137,163,198,216],"generating":[31],"bi":[32,64],"nary":[33,65],"from":[35,59,76,206],"multivariate":[36,53,95],"normally":[37],"distributed":[38],"values,":[39],"as":[40,91,157],"discussed":[41],"in":[42,87,92,144,200,247],"Emrich":[43],"Piedmonte.":[45],"Specifically,":[46],"set":[49],"that":[50,126,239],"follows":[51],"normal":[54],"distribution":[55],"is":[56,85,100,243],"generated":[57,89,105,142,176,222],"separately":[58],"observed":[60],"data,":[61,97,186],"using":[62],"marginal":[63],"proportions,":[66],"matrix":[69],"associated":[70,174,220],"with":[71,175,221],"pairwise":[72],"tetrachoric":[73],"correlations":[74],"derived":[75],"phi":[77],"coefficients.":[78],"The":[79],"same":[80],"fraction":[81],"missing":[83],"information":[84],"introduced":[86],"the":[88,93,104,111,123,131,170,180,207],"original":[94,132,181,225],"multiple":[98],"imputation":[99,139],"then":[101],"applied":[102],"to":[103,122,141,149,154,169,179,211],"values":[106,116,173,190,219],"via":[107],"joint":[108],"modeling":[109],"under":[110],"normality":[112],"assumption,":[113],"imputed":[115,208],"are":[117,127],"dichotomized":[118],"by":[119,159],"quantiles":[120],"corresponding":[121],"proportions":[125],"computed":[128],"based":[129],"on":[130],"incomplete":[133],"data.":[134,230],"Results:":[135],"Application":[136],"our":[138],"simu":[145],"lation":[146],"studies":[147,233],"real":[150,185,229,235],"examples":[152],"led":[153],"promising":[155,245],"results,":[156],"indicated":[158],"average":[160,195],"estimates":[161,183,205,227],"(AE)":[162],"pair":[164],"wise":[165],"correlation":[166,172,182,203,218,226],"parameters":[167],"comparable":[168,210],"true":[171,217],"involving":[184,228],"standardized":[187],"bias":[188],"(SB)":[189],"90%,":[193],"widths":[196,215],"(AW)":[197],"confidence":[199,213],"tervals":[201],"parameter":[204],"95%":[212],"interval":[214],"Conclusion:":[231],"Simulation":[232],"applications":[237],"indicate":[238],"new":[241],"while":[251],"relaxing":[252],"multinomial":[253]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2016-06-24T00:00:00"}
