{"id":"W4214628116","doi":"10.1080/02664763.2022.2041566","title":"Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Kazan Federal University; Kasetsart University","keywords":"Confidence interval; Statistics; Mathematics; Estimator; Coverage probability; Binomial proportion confidence interval; Logarithm; Ratio estimator; Interval estimation; Tolerance interval; Monte Carlo method; Sample size determination; Negative binomial distribution; Bias of an estimator; Poisson distribution; Minimum-variance unbiased estimator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03060686,0.0009582736,0.001592501,0.004080337,0.0006548726,0.002697625,0.003645027,0.00201074,0.002930231],"category_scores_gemma":[0.2499518,0.0004911305,0.00156406,0.002541614,0.003026707,0.005216138,0.003451932,0.002864025,0.0006908473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168763,"about_ca_system_score_gemma":0.0009967895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043072,"about_ca_topic_score_gemma":0.0003833678,"domain_scores_codex":[0.9786292,0.01149611,0.00113149,0.003502947,0.00469696,0.0005433321],"domain_scores_gemma":[0.8163763,0.1574599,0.00850387,0.008558251,0.00812426,0.0009774294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00131314,0.0002103789,0.04217751,0.001453366,0.0005599893,0.001145499,0.001851934,0.2371109,0.009394588,0.3201256,0.002932259,0.3817249],"study_design_scores_gemma":[0.00008415099,0.0003184086,0.007624282,0.0002784404,0.0001505922,0.001038101,0.0002863188,0.8654432,0.007674617,0.1125035,0.004454779,0.0001435914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01457469,0.0005896232,0.9828151,0.0001319203,0.00004238563,0.00006047278,0.00006575203,0.0002400796,0.001479985],"genre_scores_gemma":[0.5960888,0.000940753,0.4001345,0.000256212,0.0002144413,0.0004818799,0.0005534425,0.0001837245,0.001146306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03060686,"threshold_uncertainty_score":0.1618664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423891164881695,"score_gpt":0.437631497067374,"score_spread":0.2952423805792045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}