{"id":"W2272703140","doi":"","title":"Generalized Estimating Equations and Gaussian Estimation in Longitudinal Data Analysis","year":2011,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Mathematics; Generalized estimating equation; Estimator; Estimating equations; Statistics; Gaussian; Autocorrelation; Regression analysis; Marginal model; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05563918,0.002520816,0.004050293,0.004949313,0.0009322371,0.002701865,0.00376418,0.002895102,0.004379722],"category_scores_gemma":[0.1285134,0.001395732,0.003717991,0.008746492,0.0034719,0.00495592,0.00345595,0.005370487,0.001272079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608943,"about_ca_system_score_gemma":0.004033797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009273838,"about_ca_topic_score_gemma":0.006029995,"domain_scores_codex":[0.9457726,0.04428989,0.001760545,0.004193048,0.003367499,0.0006164974],"domain_scores_gemma":[0.9157422,0.07264177,0.004160382,0.003699908,0.003523205,0.0002325699],"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":[0.00004665425,0.00007941607,0.005777364,0.0009349539,0.001361415,0.0002861944,0.0007664994,0.08760142,0.0002651716,0.7521374,0.006315289,0.1444283],"study_design_scores_gemma":[0.00006052287,0.0001011138,0.002637911,0.0004838709,0.0003021619,0.0002064489,0.0002299325,0.2637112,0.0003691219,0.7139123,0.01784554,0.0001398936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001347092,0.001943171,0.9951261,0.0004624983,0.000094231,0.0001025736,0.0001858149,0.0001409797,0.0005976677],"genre_scores_gemma":[0.06605455,0.007268554,0.9207543,0.0005707883,0.0004645628,0.00165339,0.0009279632,0.0001813945,0.00212457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05563918,"threshold_uncertainty_score":0.2942516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976015824159803,"score_gpt":0.357996836305958,"score_spread":0.1603952538899776,"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."}}