{"id":"W2071030162","doi":"10.1002/cjs.10012","title":"Bootstrap tests for variance components in generalized linear mixed models","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Statistics; Test statistic; Mathematics; Generalized linear mixed model; Random effects model; Null hypothesis; Parametric statistics; Statistical hypothesis testing; Mixed model; Statistic; Score test; Generalized least squares; Econometrics; Variance (accounting); Chi-square test; Applied mathematics; Meta-analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.05551015,0.001394588,0.003000923,0.004699436,0.001295342,0.002524884,0.002966787,0.002329321,0.005814301],"category_scores_gemma":[0.3230194,0.0007447337,0.002838316,0.004414644,0.00442347,0.003185506,0.003275398,0.003634803,0.0008650924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098067,"about_ca_system_score_gemma":0.00225596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232781,"about_ca_topic_score_gemma":0.001261713,"domain_scores_codex":[0.9275455,0.06224279,0.001393714,0.002311704,0.005856229,0.0006501066],"domain_scores_gemma":[0.7034433,0.2746217,0.006586983,0.008896393,0.005396496,0.001055169],"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":[0.001819372,0.0004325193,0.03006533,0.00108464,0.003599327,0.001076742,0.001221833,0.10494,0.001495237,0.5153143,0.008665521,0.3302852],"study_design_scores_gemma":[0.0003402853,0.0008120766,0.009451781,0.0003803147,0.0003348059,0.0004456593,0.0004378615,0.3942957,0.001379776,0.5867659,0.005217052,0.0001386701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03179834,0.0009866239,0.9632199,0.0006436182,0.0001633699,0.0003159553,0.0002505104,0.000550191,0.002071478],"genre_scores_gemma":[0.6695101,0.0007622807,0.3249736,0.0005080141,0.0003202184,0.001673229,0.0009245878,0.0002430412,0.001084935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05551015,"threshold_uncertainty_score":0.2935692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1935475800125065,"score_gpt":0.3750452436926864,"score_spread":0.1814976636801798,"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."}}