PMC:7738161 / 16790-17500 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7738161","sourcedb":"PMC","sourceid":"7738161","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7738161","text":"We fit our models with Stan 2.19.1 [30, 31] and R 3.6.2 [32]; Stan implements the No-U-Turn Hamiltonian Markov chain Monte Carlo algorithm [33] for Bayesian statistical inference. In our main model run, we sampled from eight chains with 2000 iterations each and discarded the first 1000 iterations of each chain as warm-up. We assessed chain convergence visually via trace plots (Figure G in S1 Text) and via ensuring that R^≤1.01 (the potential scale reduction factor) and that ESS \u003e 200 (the effective sample size), as calculated by the rstan R package [31] (Tables C and D in S1 Text). We represent uncertainty via quantile-based credible intervals. We validated our approach using simulated data (S1 Text).","tracks":[{"project":"LitCovid-sentences","denotations":[{"id":"T122","span":{"begin":0,"end":179},"obj":"Sentence"},{"id":"T123","span":{"begin":180,"end":323},"obj":"Sentence"},{"id":"T124","span":{"begin":324,"end":588},"obj":"Sentence"},{"id":"T125","span":{"begin":589,"end":652},"obj":"Sentence"},{"id":"T126","span":{"begin":653,"end":710},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T122","pred":"source","obj":"LitCovid-sentences"},{"subj":"T123","pred":"source","obj":"LitCovid-sentences"},{"subj":"T124","pred":"source","obj":"LitCovid-sentences"},{"subj":"T125","pred":"source","obj":"LitCovid-sentences"},{"subj":"T126","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-sentences","color":"#93a2ec","default":true}]}]}}