PMC:7543267 / 33707-34811 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T63","span":{"begin":808,"end":810},"obj":"Disease"},{"id":"T64","span":{"begin":985,"end":987},"obj":"Disease"}],"attributes":[{"id":"A63","pred":"mondo_id","subj":"T63","obj":"http://purl.obolibrary.org/obo/MONDO_0019903"},{"id":"A64","pred":"mondo_id","subj":"T64","obj":"http://purl.obolibrary.org/obo/MONDO_0019903"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T136","span":{"begin":302,"end":305},"obj":"http://purl.obolibrary.org/obo/CLO_0001046"},{"id":"T137","span":{"begin":434,"end":437},"obj":"http://purl.obolibrary.org/obo/CLO_0001046"},{"id":"T138","span":{"begin":493,"end":498},"obj":"http://purl.obolibrary.org/obo/CLO_0007875"},{"id":"T139","span":{"begin":493,"end":498},"obj":"http://purl.obolibrary.org/obo/CLO_0052410"},{"id":"T140","span":{"begin":597,"end":600},"obj":"http://purl.obolibrary.org/obo/CLO_0001405"},{"id":"T141","span":{"begin":897,"end":899},"obj":"http://purl.obolibrary.org/obo/CLO_0007874"},{"id":"T142","span":{"begin":1084,"end":1091},"obj":"http://purl.obolibrary.org/obo/CLO_0052947"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T19","span":{"begin":173,"end":176},"obj":"Chemical"},{"id":"T20","span":{"begin":212,"end":215},"obj":"Chemical"},{"id":"T21","span":{"begin":493,"end":495},"obj":"Chemical"},{"id":"T22","span":{"begin":766,"end":769},"obj":"Chemical"},{"id":"T23","span":{"begin":897,"end":899},"obj":"Chemical"},{"id":"T24","span":{"begin":1037,"end":1040},"obj":"Chemical"}],"attributes":[{"id":"A19","pred":"chebi_id","subj":"T19","obj":"http://purl.obolibrary.org/obo/CHEBI_80551"},{"id":"A20","pred":"chebi_id","subj":"T20","obj":"http://purl.obolibrary.org/obo/CHEBI_73280"},{"id":"A21","pred":"chebi_id","subj":"T21","obj":"http://purl.obolibrary.org/obo/CHEBI_73613"},{"id":"A22","pred":"chebi_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/CHEBI_80551"},{"id":"A23","pred":"chebi_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/CHEBI_73613"},{"id":"A24","pred":"chebi_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/CHEBI_73280"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}

{"project":"LitCovid-PubTator","denotations":[{"id":"161","span":{"begin":173,"end":176},"obj":"Disease"},{"id":"164","span":{"begin":766,"end":769},"obj":"Disease"},{"id":"165","span":{"begin":858,"end":882},"obj":"Disease"}],"attributes":[{"id":"A161","pred":"tao:has_database_id","subj":"161","obj":"MESH:D011125"},{"id":"A164","pred":"tao:has_database_id","subj":"164","obj":"MESH:D011125"},{"id":"A165","pred":"tao:has_database_id","subj":"165","obj":"MESH:D010300"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T124","span":{"begin":656,"end":664},"obj":"http://purl.obolibrary.org/obo/GO_0007610"},{"id":"T125","span":{"begin":697,"end":705},"obj":"http://purl.obolibrary.org/obo/GO_0007610"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}

{"project":"LitCovid-sentences","denotations":[{"id":"T253","span":{"begin":0,"end":8},"obj":"Sentence"},{"id":"T254","span":{"begin":10,"end":157},"obj":"Sentence"},{"id":"T255","span":{"begin":158,"end":223},"obj":"Sentence"},{"id":"T256","span":{"begin":224,"end":297},"obj":"Sentence"},{"id":"T257","span":{"begin":298,"end":361},"obj":"Sentence"},{"id":"T258","span":{"begin":362,"end":429},"obj":"Sentence"},{"id":"T259","span":{"begin":430,"end":492},"obj":"Sentence"},{"id":"T260","span":{"begin":493,"end":560},"obj":"Sentence"},{"id":"T261","span":{"begin":561,"end":624},"obj":"Sentence"},{"id":"T262","span":{"begin":625,"end":706},"obj":"Sentence"},{"id":"T263","span":{"begin":707,"end":1071},"obj":"Sentence"},{"id":"T264","span":{"begin":1072,"end":1104},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 2. Model quality and GoF statistics for the structural equation models of the integrated model in the Australian and U.S. samples and multigroup model\nSample Model APC AR2 AVIF AFVIF GoF SPR R2CR SSR NLBCDR\nAustralia 1 .104** .177*** 1.177 1.561 .391 .841 .977 .889 .873\n2 .116*** .338*** 1.222 1.904 .543 .819 .991 .931 .785\nUSA 1 .098** .192*** 1.187 1.823 .410 .889 .995 .825 .754\n2 .116*** .338** 1.222 1.904 .543 .819 .991 .931 .785\nMS 1 .100*** .182*** 1.159 1.704 .398 .905 .995 .794 .817\n2 .113*** .300*** 1.186 1.760 .511 .931 .997 .917 .840\nModel 1 = model excluding past behavior; Model 2 = model including past behavior.\nAFVIF average full collinearity variance inflation factor; APC average path coefficient; AR2 average R2; AVIF average block variance inflation factor; GoF Tenenhaus’s goodness-of-fit index; MS multiple sample analysis; NLBCDR nonlinear bivariate causality direction ratio; R2CR R2 contribution ratio; SPR Sympson’s paradox ratio; SSR statistical suppression ratio.\n*p \u003c .05, **p \u003c .01, ***p \u003c .001"}