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PMC:7543267 / 26195-28394 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T56 294-296 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T57 1109-1111 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T58 1623-1625 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T112 515-516 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T113 1394-1395 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T114 1445-1446 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T10 1174-1177 Chemical denotes SSR http://purl.obolibrary.org/obo/CHEBI_73280
T11 1534-1537 Chemical denotes SSR http://purl.obolibrary.org/obo/CHEBI_73280
T12 1682-1685 Chemical denotes SSR http://purl.obolibrary.org/obo/CHEBI_73280
T13 1918-1927 Chemical denotes indicator http://purl.obolibrary.org/obo/CHEBI_47867

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T202 0-199 Sentence denotes Adequacy of the proposed model in describing the data was established using the goodness-of-fit (GoF) index with values of .100, .250, and .360 corresponding to small, medium, and large effect sizes.
T203 200-309 Sentence denotes Further information on model quality was provided by the average path coefficient and average R2 coefficient.
T204 310-536 Sentence denotes These indices summarize the average parameter estimates of relations in the model and the amount of variance explained in each dependent variable, respectively, and should be statistically significant for a good-quality model.
T205 537-779 Sentence denotes In addition, an overall GoF index is provided by the average block variance inflation factor for model parameters and the average full collinearity variance inflation factor, which should be equal to or lower than 3.3 for well-fitting models.
T206 780-903 Sentence denotes These indices indicate the extent to which latent variables in the model overlap and contribute to model multicollinearity.
T207 904-1010 Sentence denotes They, therefore, provide an indication as to the uniqueness of the existing latent variables in the model.
T208 1011-1243 Sentence denotes Four further indices were also used to evaluate model quality: the Simpson’s paradox ratio (SPR), R2 contribution ratio (R2CR), the statistical suppression ratio (SSR), and the nonlinear bivariate causality direction ratio (NLBCDR).
T209 1244-1465 Sentence denotes The SPR indicates whether the model is free from incidences of Simpson’s paradox (i.e., when the path coefficient and the correlation associated with a latent variable have opposite signs), indicating a causality problem.
T210 1466-1520 Sentence denotes The SPR should exceed .700 and ideally approach 1.000.
T211 1521-1668 Sentence denotes The R2CR and SSR provide indication of the extent to which models are free from instances of negative R2 contributions and statistical suppression.
T212 1669-1728 Sentence denotes The R2CR and SSR should exceed .900 and .700, respectively.
T213 1729-2065 Sentence denotes The NLBCDR provides an estimate of the extent to which the proposed “causal” associations in the proposed model are more tenable than those in the opposite direction and provide an initial indicator of support for the hypothesized directions of the causal links in the proposed model compared to if the proposed direction were reversed.
T214 2066-2120 Sentence denotes The NLBCDR should exceed .700 for high-quality models.
T215 2121-2199 Sentence denotes Kock [33] provides further technical details on model fit and quality indices.