{"id":"W2105049581","doi":"10.1002/cjs.10085","title":"The pseudo‐GEE approach to the analysis of longitudinal surveys","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Statistics Canada","funders":"","keywords":"Gee; Estimator; Generalized estimating equation; Statistics; Mathematics; Sampling (signal processing); Population; Stratified sampling; Variance (accounting); Econometrics; Estimating equations; Consistency (knowledge bases); Computer science; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003723057,0.0001308984,0.0004113258,0.000247719,0.0002910261,0.0001170467,0.0006304888,0.00006171392,0.0001474279],"category_scores_gemma":[0.008908398,0.00007217103,0.0001169728,0.0007792469,0.0003198702,0.00003357966,0.00001960811,0.0004890272,0.00000379179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995929,"about_ca_system_score_gemma":0.0006864913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201991,"about_ca_topic_score_gemma":0.08501949,"domain_scores_codex":[0.9981952,0.0003663392,0.0006625603,0.0001139217,0.0003356503,0.0003263226],"domain_scores_gemma":[0.9936505,0.004285994,0.0004066463,0.0003941058,0.0007411782,0.0005215717],"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":[0.000007197165,0.0000238235,0.008032235,0.00001909033,0.0005270965,0.00002714398,0.0005034091,0.00002518908,0.00002496617,0.9352382,0.01559747,0.03997413],"study_design_scores_gemma":[0.0002426742,0.0001732195,0.4260522,0.00002881718,0.002027438,0.0001041002,0.0005516759,0.004815127,0.00005104268,0.5601855,0.005493206,0.0002750616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00700727,0.00003048541,0.9898819,0.0004049089,0.0004571847,0.0001041348,0.0009068545,0.000001958775,0.001205326],"genre_scores_gemma":[0.3481517,0.000006515532,0.6515998,0.00004437084,0.0001055077,0.000002266945,0.000003301908,0.00001194377,0.00007455728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4180199,"threshold_uncertainty_score":0.99944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578449412445457,"score_gpt":0.3332873664439522,"score_spread":0.2675028723194977,"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."}}