{"id":"W2146901830","doi":"10.1093/biostatistics/kxu026","title":"Multiple comparison procedures for neuroimaging genomewide association studies","year":2014,"lang":"en","type":"article","venue":"Biostatistics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; University of California, San Diego; Canadian Institutes of Health Research; University of California, Los Angeles; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Alzheimer's Association; Amorfix Life Sciences; F. Hoffmann-La Roche; Medpace; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb; Novartis Pharmaceuticals Corporation; Wellcome Trust; Synarc; Bayer HealthCare; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; National Science Foundation","keywords":"Neuroimaging; Imaging genetics; Univariate; False discovery rate; Computer science; Alzheimer's Disease Neuroimaging Initiative; Multiple comparisons problem; Dimensionality reduction; Genome-wide association study; Brain size; Statistical power; Computational biology; Artificial intelligence; Machine learning; Single-nucleotide polymorphism; Neuroscience; Magnetic resonance imaging; Biology; Multivariate statistics; Medicine; Statistics; Genetics; Gene; Genotype; Mathematics; Cognition","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1213698,0.003240738,0.004492872,0.005278784,0.002024165,0.002243679,0.006541892,0.003991575,0.01811787],"category_scores_gemma":[0.3328558,0.001551315,0.004482406,0.007793217,0.004132033,0.003122651,0.003951554,0.01062406,0.003486997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161966,"about_ca_system_score_gemma":0.004169432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579216,"about_ca_topic_score_gemma":0.001123987,"domain_scores_codex":[0.8107129,0.1666125,0.004964123,0.006569511,0.01019505,0.0009459062],"domain_scores_gemma":[0.6913617,0.2752895,0.006322824,0.02057689,0.005580798,0.0008683404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00243203,0.0007523401,0.004925753,0.002753754,0.005699723,0.001491636,0.001180581,0.03814537,0.004091843,0.4008041,0.02784209,0.5098807],"study_design_scores_gemma":[0.001079565,0.002031768,0.005093478,0.0005477914,0.0007942974,0.001135181,0.0003146082,0.2689621,0.004507372,0.6632606,0.05200097,0.0002722726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009578026,0.0004123201,0.9961392,0.0003078013,0.0003046837,0.0005418923,0.0002818514,0.0005654577,0.0004889384],"genre_scores_gemma":[0.01897339,0.0004264667,0.9720377,0.0002694242,0.0003196268,0.006390626,0.0004621246,0.000360558,0.0007600507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1213698,"threshold_uncertainty_score":0.6418728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238930918415187,"score_gpt":0.3310335732112797,"score_spread":0.2986442640271278,"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."}}