{"id":"W2037889113","doi":"10.1002/sim.5530","title":"Efficient analysis of case‐control studies with sample weights","year":2012,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Estimator; Covariate; Statistics; Sample (material); Population; Sample size determination; Mathematics; Bootstrapping (finance); Robustness (evolution); Econometrics; Computer science","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":[0.1542854,0.001246712,0.003734411,0.004708041,0.0007083461,0.00275192,0.003099924,0.002456617,0.002423664],"category_scores_gemma":[0.4359839,0.001576707,0.00208721,0.00411575,0.002608171,0.003448065,0.003421258,0.002560854,0.0002772453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682029,"about_ca_system_score_gemma":0.002795922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040159,"about_ca_topic_score_gemma":0.0008398668,"domain_scores_codex":[0.8450673,0.1360963,0.005335351,0.004438314,0.008407385,0.0006553762],"domain_scores_gemma":[0.5255839,0.4287401,0.01672916,0.02309289,0.005342094,0.0005118879],"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":[0.0008235381,0.0003547629,0.02667009,0.002177598,0.004093574,0.0008080524,0.0006571353,0.280596,0.002076312,0.355106,0.002648629,0.3239883],"study_design_scores_gemma":[0.0005352903,0.0003884303,0.006086852,0.0005025428,0.0008616698,0.0003277301,0.0001311544,0.5673003,0.001467597,0.4169261,0.005414659,0.00005766115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007597767,0.0007921216,0.9902367,0.0003538218,0.00005790636,0.0004378643,0.0000757817,0.00007727319,0.0003707373],"genre_scores_gemma":[0.239238,0.00157934,0.752868,0.000370801,0.0002371383,0.004476196,0.0004409239,0.00006856123,0.0007210699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1542854,"threshold_uncertainty_score":0.8159487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146731685975503,"score_gpt":0.4553308516164282,"score_spread":0.3406576830188779,"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."}}