{"id":"W4307134400","doi":"10.1515/ijb-2022-0010","title":"A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes","year":2022,"lang":"en","type":"article","venue":"The International Journal of Biostatistics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Bivariate analysis; Multivariate statistics; Copula (linguistics); Type I and type II errors; Genome-wide association study; Multivariate normal distribution; Statistics; Multivariate analysis; Genetic association; Mathematics; Computer science; Econometrics; Biology; Genetics; Single-nucleotide polymorphism; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001356785,0.00009825199,0.0001736036,0.00006380538,0.0001809308,0.00003165603,0.000455921,0.00005992151,0.00007776633],"category_scores_gemma":[0.003461468,0.0000716307,0.0001081223,0.00006635704,0.00002979606,0.000002983753,0.0001116448,0.0001359306,0.000002202846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560233,"about_ca_system_score_gemma":0.0003327199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002759827,"about_ca_topic_score_gemma":0.00003221696,"domain_scores_codex":[0.998772,0.0001543876,0.0004695526,0.0001181906,0.0003226375,0.0001632197],"domain_scores_gemma":[0.9975373,0.0008093953,0.0008845403,0.000114448,0.0006153875,0.0000389607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004150429,0.001084628,0.06511395,0.00002970866,0.002461497,0.0001433425,0.0004630246,0.03043528,0.1477065,0.00348812,0.7340437,0.01087976],"study_design_scores_gemma":[0.01264921,0.01001547,0.1009611,0.00006409889,0.0008302998,0.00074172,0.002402198,0.04913305,0.01074624,0.0115992,0.799834,0.00102345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.643559,0.0006984588,0.3089755,0.03201371,0.007137967,0.000741519,0.006636008,0.00001852149,0.0002193222],"genre_scores_gemma":[0.975575,0.00006653759,0.02069151,0.001828286,0.0005639197,0.00002308155,0.0003743946,0.00001858486,0.0008587185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.332016,"threshold_uncertainty_score":0.414395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717379251875667,"score_gpt":0.2889192896215963,"score_spread":0.2717454971028396,"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."}}