{"id":"W2087331192","doi":"10.1038/ejhg.2010.47","title":"A pure likelihood approach to the analysis of genetic association data: an alternative to Bayesian and frequentist analysis","year":2010,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; American Epilepsy Society; National Human Genome Research Institute; Ontario Ministry of Research and Innovation; Parents Against Childhood Epilepsy; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Hospital for Sick Children; National Institute of Mental Health; Epilepsy Society; Epilepsy Foundation","keywords":"Frequentist inference; Statistics; Bayesian probability; Multiple comparisons problem; Bayes' theorem; False discovery rate; Bayes factor; Sample size determination; Genetic association; Association (psychology); Computer science; Mathematics; Single-nucleotide polymorphism; Bayesian inference; Biology; Psychology; Genetics; 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":[0.002403588,0.0001622563,0.0004191441,0.0003753248,0.0001329356,0.00006076795,0.000901775,0.00007205566,0.00001455841],"category_scores_gemma":[0.0003621245,0.0001285518,0.000191108,0.0006695663,0.00004911949,0.000006447679,0.0003049719,0.000213102,0.00000232956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728584,"about_ca_system_score_gemma":0.0000439381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002712346,"about_ca_topic_score_gemma":0.001026679,"domain_scores_codex":[0.9977096,0.0006876029,0.0007184652,0.0003730031,0.0002657636,0.0002455804],"domain_scores_gemma":[0.9976978,0.00003288843,0.0007578964,0.000862422,0.0004151532,0.0002337954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005353529,0.0003822904,0.7472843,0.00001354685,0.01566566,0.00001592488,0.003008571,0.04911054,0.1626769,0.00004551375,0.007825918,0.01391734],"study_design_scores_gemma":[0.0002766555,0.0005825065,0.9891198,0.000002776289,0.003604788,0.00001117411,0.0003089274,0.002314612,0.0006187899,0.00004815305,0.002930682,0.0001811212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452907,0.0002357618,0.0534902,0.0002937783,0.0001185873,0.0001225434,0.0001204833,0.000002180422,0.0003257037],"genre_scores_gemma":[0.9697816,0.00008191166,0.02910967,0.0002748173,0.0004593012,0.000001547335,0.0001655339,0.00002219156,0.0001034423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2418355,"threshold_uncertainty_score":0.524219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073143271574855,"score_gpt":0.2874781551690004,"score_spread":0.2667467224532518,"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."}}