{"id":"W2041842764","doi":"10.1142/9781860949531_0031","title":"SECOND ORDER ESTIMATING EQUATIONS FOR CLUSTERED LONGITUDINAL BINARY DATA WITH MISSING OBSERVATIONS","year":2002,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Missing data; Binary number; Order (exchange); Binary data; Longitudinal data; Computer science; Statistics; Mathematics; Applied mathematics; Data mining; Arithmetic","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":[0.03652595,0.002073848,0.005727468,0.003537096,0.001245282,0.003554253,0.006140239,0.003634764,0.008205598],"category_scores_gemma":[0.1061408,0.003062252,0.004042462,0.006294651,0.001935642,0.004400336,0.003192374,0.007038773,0.001703376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341377,"about_ca_system_score_gemma":0.005065958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806074,"about_ca_topic_score_gemma":0.0250413,"domain_scores_codex":[0.9826272,0.01103212,0.001343971,0.002977856,0.001301839,0.000717049],"domain_scores_gemma":[0.8328575,0.1410054,0.007713448,0.01272298,0.004776936,0.0009236417],"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":[0.0007065635,0.0004510156,0.04623279,0.001301338,0.0045271,0.0008064477,0.002142272,0.1779582,0.001019972,0.5596582,0.01380225,0.1913939],"study_design_scores_gemma":[0.0002569538,0.0002138902,0.00946659,0.0002585575,0.0009055829,0.0004169968,0.0002613928,0.6072748,0.0005417925,0.3741826,0.006089391,0.0001314977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01041724,0.0007999814,0.9867771,0.0003977758,0.0001029113,0.0001046848,0.0009266986,0.0002297344,0.000243861],"genre_scores_gemma":[0.1888004,0.003348083,0.7832425,0.0006357891,0.0005127747,0.002785597,0.008464137,0.0002743078,0.01193647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03652595,"threshold_uncertainty_score":0.19317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5599748768681403,"score_gpt":0.4398795897575095,"score_spread":0.1200952871106308,"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."}}