{"id":"W1992410926","doi":"10.1002/cjs.10055","title":"Inferences in generalized linear longitudinal mixed models","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Generalized estimating equation; Covariate; Statistics; Generalized linear model; Generalization; Correlation; Generalized linear mixed model; Moment (physics); Contrast (vision); Econometrics; Mixed model; Binary data; Regression; Regression analysis; Estimating equations; Linear model; Binary number; Maximum likelihood; Mathematical analysis; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.08470982,0.002060127,0.003620206,0.005479537,0.001472875,0.004396033,0.004734445,0.002292144,0.00729729],"category_scores_gemma":[0.3293158,0.001931993,0.003951064,0.005736768,0.003618681,0.005114229,0.004262475,0.004497014,0.0009299017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083985,"about_ca_system_score_gemma":0.003719282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513954,"about_ca_topic_score_gemma":0.01205916,"domain_scores_codex":[0.8957503,0.09169016,0.002284104,0.005496775,0.004110119,0.0006685368],"domain_scores_gemma":[0.7386909,0.237606,0.01045169,0.008840659,0.003716854,0.0006938504],"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":[0.0004970538,0.0001845084,0.01678392,0.001256815,0.003399272,0.000970164,0.0009042263,0.1184304,0.0003684096,0.7200966,0.006441853,0.1306668],"study_design_scores_gemma":[0.0001705915,0.0001197446,0.002033023,0.0003017787,0.0003890561,0.0001222792,0.0001684546,0.2974768,0.0003639739,0.6953711,0.003417866,0.00006525283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01120504,0.0009170502,0.9833078,0.001372022,0.0001745968,0.000334327,0.0006110689,0.0003885445,0.001689458],"genre_scores_gemma":[0.373048,0.002085633,0.6150967,0.001502037,0.0008167406,0.002459168,0.001834184,0.0001879349,0.002969641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08470982,"threshold_uncertainty_score":0.4479937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023048184563324,"score_gpt":0.3490306239748175,"score_spread":0.2467258055184852,"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."}}