PMC:7780429 / 9374-9655 JSONTXT

{"project":"LitCovid-PD-HP","denotations":[{"id":"T37","span":{"begin":78,"end":86},"obj":"Phenotype"}],"attributes":[{"id":"A37","pred":"hp_id","subj":"T37","obj":"http://purl.obolibrary.org/obo/HP_0002315"}],"text":"For the analysis of the predictive factors with the appearance of a ‘de novo’ headache, we used binary logistic regression methods by steps backwards, to maximise sensitivity; variables with a univariate association of p\u003c0.200 were included as candidates in the multivariate model."}

{"project":"LitCovid-PubTator","denotations":[{"id":"121","span":{"begin":78,"end":86},"obj":"Disease"}],"attributes":[{"id":"A121","pred":"tao:has_database_id","subj":"121","obj":"MESH:D006261"}],"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":"For the analysis of the predictive factors with the appearance of a ‘de novo’ headache, we used binary logistic regression methods by steps backwards, to maximise sensitivity; variables with a univariate association of p\u003c0.200 were included as candidates in the multivariate model."}

{"project":"LitCovid-sentences","denotations":[{"id":"T59","span":{"begin":0,"end":281},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"For the analysis of the predictive factors with the appearance of a ‘de novo’ headache, we used binary logistic regression methods by steps backwards, to maximise sensitivity; variables with a univariate association of p\u003c0.200 were included as candidates in the multivariate model."}