{"id":"W4362458453","doi":"10.1002/sim.9721","title":"A Bayesian approach for two‐stage multivariate Mendelian randomization with mixed outcomes","year":2023,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Ottawa; Princess Margaret Cancer Centre; Ottawa Hospital; Queen's University; University of Toronto; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Mendelian randomization; Multivariate statistics; Bayesian probability; Randomization; Multivariate analysis; Statistics; Computer science; Econometrics; Mathematics; Randomized controlled trial; Internal medicine; Medicine; Biology; Genetic variants; Genetics","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":[0.03137187,0.002113287,0.004389485,0.003145677,0.001398279,0.002579614,0.005212367,0.002636478,0.01342609],"category_scores_gemma":[0.05443139,0.001887239,0.004645613,0.003567274,0.002360255,0.002872896,0.004002539,0.005184988,0.00170445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224174,"about_ca_system_score_gemma":0.006686068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241987,"about_ca_topic_score_gemma":0.01365678,"domain_scores_codex":[0.9783176,0.01680386,0.0007127576,0.001791353,0.001774141,0.0006002209],"domain_scores_gemma":[0.9654944,0.02892815,0.00146597,0.001757043,0.001772663,0.0005817231],"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":[0.001317697,0.0003007922,0.00465294,0.0008612677,0.001532219,0.0007595538,0.0006010754,0.237202,0.001559215,0.4645281,0.009034291,0.2776509],"study_design_scores_gemma":[0.0003863745,0.0001532005,0.0005896595,0.0001113134,0.0002730236,0.0001931851,0.00003825819,0.762731,0.0004653338,0.2274221,0.00754979,0.00008683413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009247254,0.0001953027,0.9977844,0.0002009806,0.00004685623,0.0001854669,0.0001321953,0.000250546,0.0002796266],"genre_scores_gemma":[0.03799297,0.000503973,0.9565303,0.0004113284,0.0002208744,0.001613375,0.0005808346,0.0002627157,0.001883615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03137187,"threshold_uncertainty_score":0.1659123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779488646499171,"score_gpt":0.3049085384656339,"score_spread":0.2871136520006422,"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."}}