{"id":"W4210672984","doi":"10.4236/ojs.2022.121001","title":"Quasi-Binomial Regression Model for the Analysis of Data with Extra-Binomial Variation","year":2022,"lang":"en","type":"article","venue":"Open Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Binomial regression; Negative binomial distribution; Mathematics; Statistics; Count data; Quasi-likelihood; Binomial distribution; Beta-binomial distribution; Continuity correction; Binomial test; Binary data; Binomial proportion confidence interval; Regression analysis; Econometrics; Binary number; Poisson distribution","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":[0.05130262,0.001364155,0.002344271,0.001881518,0.000894253,0.002186863,0.00519579,0.001923031,0.01929579],"category_scores_gemma":[0.09831228,0.0009550952,0.002629991,0.003141357,0.002742655,0.003457146,0.002262909,0.004638855,0.004198985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103773,"about_ca_system_score_gemma":0.003600622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003594849,"about_ca_topic_score_gemma":0.003100799,"domain_scores_codex":[0.9511634,0.04018616,0.001087678,0.002810966,0.00424226,0.0005095577],"domain_scores_gemma":[0.8903984,0.09543043,0.00484291,0.004591397,0.004225555,0.0005112544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002224677,0.0001238426,0.003734451,0.001137135,0.0004047866,0.0004620802,0.0009211962,0.05946992,0.001430194,0.8325858,0.01003894,0.08946914],"study_design_scores_gemma":[0.0001014912,0.0002840931,0.002085963,0.0003623304,0.0001127776,0.0004578845,0.0001443943,0.5216029,0.000485915,0.4504149,0.02385338,0.00009394726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007652527,0.0002263008,0.997691,0.0001735577,0.00006637534,0.0001703973,0.0001534132,0.0001247068,0.0006290422],"genre_scores_gemma":[0.04296618,0.001003051,0.9455495,0.0004724195,0.0002328485,0.004184166,0.0007617628,0.0002401455,0.00458991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05130262,"threshold_uncertainty_score":0.2713174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047915268104073,"score_gpt":0.4382070536553679,"score_spread":0.2334155268449606,"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."}}