{"id":"W2400611004","doi":"10.1515/ijb-2015-0015","title":"Influence Re-weighted G-Estimation","year":2015,"lang":"en","type":"article","venue":"The International Journal of Biostatistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Estimator; Weighting; Estimation; Parametric statistics; Computer science; Robust statistics; Marginal structural model; Average treatment effect; Econometrics; Mathematical optimization; Inverse probability weighting; Outcome (game theory); Mathematics; Parametric model; Statistics; Causal inference; Medicine; Economics","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":[0.01088322,0.001391362,0.002397731,0.002070915,0.0007711441,0.001667168,0.003426218,0.002327013,0.004306964],"category_scores_gemma":[0.07206411,0.0007184669,0.001806403,0.00178063,0.001716776,0.002614475,0.003067315,0.002600268,0.001224871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009893827,"about_ca_system_score_gemma":0.001811488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125825,"about_ca_topic_score_gemma":0.004847174,"domain_scores_codex":[0.9935898,0.003870928,0.0002819078,0.001069841,0.0009320728,0.0002554843],"domain_scores_gemma":[0.9694556,0.020385,0.001536608,0.005779224,0.002542266,0.0003012856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002343294,0.0001201093,0.006287867,0.0003677629,0.0005073018,0.0003959848,0.0003134428,0.4252657,0.002909975,0.3189205,0.007980038,0.236697],"study_design_scores_gemma":[0.00003420421,0.0000503204,0.0007058321,0.00004983918,0.00007126214,0.0001155009,0.00003005938,0.8682125,0.001193778,0.1247129,0.004792217,0.00003151269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002598554,0.0001465897,0.9960069,0.0001841481,0.00004459969,0.00005150644,0.00006146116,0.0001354353,0.0007707543],"genre_scores_gemma":[0.2333937,0.0006102596,0.757713,0.0006851442,0.0002963795,0.0005302408,0.000867623,0.0004165315,0.005487239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01088322,"threshold_uncertainty_score":0.05755669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452875135276142,"score_gpt":0.4352843289043036,"score_spread":0.2899968153766894,"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."}}