PMC:7795972 / 8796-9492 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"95","span":{"begin":515,"end":527},"obj":"Species"}],"attributes":[{"id":"A95","pred":"tao:has_database_id","subj":"95","obj":"Tax:9606"}],"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":"Assumptions including correlation/collinearity between independent variables in the model and proportional odds were checked. The proportionality of odds assumption was assessed for all predictor variables separately. Criteria for proportional odds were met, although the assessment revealed small variations for certain predictors. For the sake of transparency, a multinomial logistic regression table is presented (Table S1). Results were considered statistically significant at p-values \u003c 0.05 for all analyses. Participants with missing answers on relevant items were excluded from all analyses. Descriptive statistics with percentages and medians (with 25–75 percentiles) are also presented."}

{"project":"LitCovid-sentences","denotations":[{"id":"T67","span":{"begin":0,"end":125},"obj":"Sentence"},{"id":"T68","span":{"begin":126,"end":217},"obj":"Sentence"},{"id":"T69","span":{"begin":218,"end":332},"obj":"Sentence"},{"id":"T70","span":{"begin":333,"end":427},"obj":"Sentence"},{"id":"T71","span":{"begin":428,"end":514},"obj":"Sentence"},{"id":"T72","span":{"begin":515,"end":599},"obj":"Sentence"},{"id":"T73","span":{"begin":600,"end":696},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Assumptions including correlation/collinearity between independent variables in the model and proportional odds were checked. The proportionality of odds assumption was assessed for all predictor variables separately. Criteria for proportional odds were met, although the assessment revealed small variations for certain predictors. For the sake of transparency, a multinomial logistic regression table is presented (Table S1). Results were considered statistically significant at p-values \u003c 0.05 for all analyses. Participants with missing answers on relevant items were excluded from all analyses. Descriptive statistics with percentages and medians (with 25–75 percentiles) are also presented."}