{"id":"W2107365898","doi":"10.1093/biostatistics/kxp029","title":"Second-order estimating equations for the analysis of clustered current status data","year":2009,"lang":"en","type":"article","venue":"Biostatistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Covariate; Copula (linguistics); Marginal model; Quantile; Marginal distribution; Estimating equations; Statistics; Generalized estimating equation; Econometrics; Mathematics; Joint probability distribution; Order statistic; Regression analysis; Maximum likelihood","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":[0.02883622,0.001401849,0.002265053,0.002150762,0.0006114324,0.001653891,0.002576327,0.001523754,0.007324106],"category_scores_gemma":[0.1034079,0.0012608,0.002641765,0.003842031,0.001066805,0.00236541,0.001760678,0.004693556,0.001795999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178155,"about_ca_system_score_gemma":0.004040466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012452,"about_ca_topic_score_gemma":0.01366834,"domain_scores_codex":[0.9850842,0.01124069,0.0007614303,0.001315144,0.001310929,0.0002875702],"domain_scores_gemma":[0.9156715,0.07183876,0.003963188,0.005393075,0.002880263,0.0002531862],"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":[0.00008167089,0.000145891,0.01714302,0.00066513,0.001158514,0.0002821318,0.0009781226,0.117299,0.00102269,0.6786504,0.01125036,0.171323],"study_design_scores_gemma":[0.00008227031,0.0001157596,0.00534612,0.000155736,0.0002232812,0.0002092266,0.0001217214,0.544523,0.0007272002,0.4335054,0.01490827,0.00008199186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001455739,0.0002340315,0.9973515,0.0001901208,0.00002679409,0.00007732509,0.0003108867,0.0001463331,0.000207202],"genre_scores_gemma":[0.06584115,0.001891074,0.9236199,0.0003111027,0.0001690154,0.001766282,0.002180831,0.0002042641,0.004016403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02883622,"threshold_uncertainty_score":0.1525024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3129426196990909,"score_gpt":0.4887470645144166,"score_spread":0.1758044448153258,"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."}}