{"id":"W2948977041","doi":"10.1007/s13171-019-00170-7","title":"Two Stage Cluster Sampling Based Asymptotic Inferences in Survey Population Models for Longitudinal Count and Categorical Data","year":2019,"lang":"en","type":"article","venue":"Sankhya A","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Carleton University","funders":"","keywords":"Multinomial distribution; Statistics; Categorical variable; Mathematics; Estimator; Count data; Generalized estimating equation; Population; Poisson sampling; Cluster sampling; Marginal model; Generalized linear model; Estimating equations; Regression analysis; Sampling (signal processing); Econometrics; Importance sampling; Computer science; Poisson distribution; Monte Carlo method; Slice sampling","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":[0.04857618,0.001362054,0.003298432,0.003221828,0.002065414,0.00285915,0.006895621,0.002503349,0.004806018],"category_scores_gemma":[0.2054125,0.002308796,0.003635303,0.003548485,0.004885937,0.00432758,0.004127695,0.005609855,0.0005998968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002499061,"about_ca_system_score_gemma":0.004390168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269859,"about_ca_topic_score_gemma":0.01131529,"domain_scores_codex":[0.9653945,0.02791949,0.0008141511,0.002910212,0.002286614,0.0006751095],"domain_scores_gemma":[0.7461544,0.2302833,0.004013992,0.01256504,0.005905272,0.001077971],"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":[0.00109655,0.0004230184,0.01416855,0.00081513,0.001272359,0.0005474071,0.002450976,0.1781505,0.001609056,0.6738903,0.004960995,0.1206152],"study_design_scores_gemma":[0.0001395211,0.0001249899,0.002212779,0.00006915288,0.0001930369,0.0001522989,0.0001501436,0.7349447,0.0007879377,0.2597478,0.001413633,0.00006389165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00979057,0.0001692067,0.989181,0.0001312168,0.0000350529,0.0001048392,0.00006714665,0.0001321138,0.0003889531],"genre_scores_gemma":[0.2818488,0.0006357108,0.7096303,0.0003333309,0.0002278491,0.001375538,0.0008576546,0.0003311592,0.00475979],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04857618,"threshold_uncertainty_score":0.2568985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3176893575283443,"score_gpt":0.4519438232555343,"score_spread":0.1342544657271901,"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."}}