{"id":"W4414966744","doi":"10.1093/biomtc/ujaf128","title":"Inverse-intensity weighted generalized estimating equations for longitudinal data subject to irregular observation: which variables should be included in the visit rate model?","year":2025,"lang":"en","type":"article","venue":"Biometrics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Outcome (game theory); Conditional independence; Regression analysis; Inverse probability weighting; Generalized estimating equation; Regression; Linear regression; Weighting","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":[0.04098618,0.0009296475,0.002632469,0.001501728,0.0004486311,0.001766287,0.003983874,0.001907733,0.003189718],"category_scores_gemma":[0.1641935,0.001035239,0.002683817,0.003858912,0.001219801,0.003967437,0.00177496,0.004087736,0.0007800611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012997,"about_ca_system_score_gemma":0.002024664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065474,"about_ca_topic_score_gemma":0.01045428,"domain_scores_codex":[0.9779181,0.0180005,0.0008095234,0.001659385,0.001204343,0.000408125],"domain_scores_gemma":[0.9298595,0.05427841,0.005131891,0.00781091,0.002630066,0.0002891903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003480495,0.0002414582,0.05994097,0.0009477393,0.002437728,0.0003607929,0.001219989,0.1059797,0.001151927,0.418256,0.01050167,0.398614],"study_design_scores_gemma":[0.0001582732,0.0002047351,0.01312993,0.0004304786,0.0006604957,0.0002108586,0.0002234336,0.4603248,0.000660394,0.5102857,0.01359303,0.0001178275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01050146,0.0006746759,0.9868419,0.0009584763,0.00009245214,0.0001204419,0.0002457096,0.0001770934,0.0003876849],"genre_scores_gemma":[0.1989696,0.002684503,0.7892047,0.001177468,0.0004141073,0.001575882,0.001696263,0.0002688231,0.004008696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04098618,"threshold_uncertainty_score":0.2167583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5402143993276196,"score_gpt":0.474976957519357,"score_spread":0.06523744180826258,"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."}}