CORD-19:07815f7f4d5711d2c737bfc2562bd07bf4644189 / 3000-3298 JSONTXT

{"project":"CORD-19-Sentences","denotations":[{"id":"TextSentencer_T22","span":{"begin":0,"end":298},"obj":"Sentence"},{"id":"TextSentencer_T22","span":{"begin":0,"end":298},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In many censoring situations, if we were to try to estimate the distribution function via the EM algorithm the resulting equation takes the form F S ðtÞ ¼ EF S ½E n jX, ð1:2Þ as described by Tsai and Crowley (1985) , where E n is the empirical distribution function and X denotes the observed data."}

{"project":"Epistemic_Statements","denotations":[{"id":"T8","span":{"begin":0,"end":298},"obj":"Epistemic_statement"}],"text":"In many censoring situations, if we were to try to estimate the distribution function via the EM algorithm the resulting equation takes the form F S ðtÞ ¼ EF S ½E n jX, ð1:2Þ as described by Tsai and Crowley (1985) , where E n is the empirical distribution function and X denotes the observed data."}

{"project":"CORD-19_Custom_license_subset","denotations":[{"id":"T22","span":{"begin":0,"end":298},"obj":"Sentence"}],"text":"In many censoring situations, if we were to try to estimate the distribution function via the EM algorithm the resulting equation takes the form F S ðtÞ ¼ EF S ½E n jX, ð1:2Þ as described by Tsai and Crowley (1985) , where E n is the empirical distribution function and X denotes the observed data."}

{"project":"CORD-19-PD-MONDO","denotations":[{"id":"T6","span":{"begin":94,"end":96},"obj":"Disease"}],"attributes":[{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0006545"}],"text":"In many censoring situations, if we were to try to estimate the distribution function via the EM algorithm the resulting equation takes the form F S ðtÞ ¼ EF S ½E n jX, ð1:2Þ as described by Tsai and Crowley (1985) , where E n is the empirical distribution function and X denotes the observed data."}