{"id":"W2070754959","doi":"10.1002/1098-2272(200102)20:2<149::aid-gepi1>3.0.co;2-a","title":"Design considerations for association studies of candidate genes in families","year":2001,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mount Sinai Hospital; Montreal General Hospital; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; Health Canada; National Institutes of Health","keywords":"Sample size determination; Covariate; Statistics; Correlation; Proband; Trait; Family aggregation; Sample (material); Econometrics; Generalized linear model; Mathematics; Genetics; Biology; Medicine; Computer science; Population; Gene; Mutation; Environmental health","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":[0.1636037,0.001620787,0.002371997,0.001332995,0.001499461,0.002317194,0.002615842,0.00468487,0.005014165],"category_scores_gemma":[0.3222137,0.001419331,0.001753445,0.001808576,0.002360713,0.002449001,0.002239622,0.003254447,0.0009635221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967684,"about_ca_system_score_gemma":0.003463037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007188439,"about_ca_topic_score_gemma":0.001663893,"domain_scores_codex":[0.730786,0.2503774,0.004199072,0.003882849,0.009843054,0.0009117099],"domain_scores_gemma":[0.7260752,0.2379153,0.01179197,0.01474114,0.008218698,0.001257623],"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":[0.005409637,0.0008630275,0.01758388,0.003749707,0.001515675,0.00117451,0.003545635,0.03694135,0.005484014,0.6636493,0.0147983,0.2452849],"study_design_scores_gemma":[0.006384576,0.007848536,0.01163308,0.001513434,0.001476863,0.001907642,0.0007625303,0.0513924,0.004072475,0.8073949,0.1053269,0.0002867206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01121962,0.002255929,0.9678137,0.00512349,0.0005409069,0.007018337,0.0002986735,0.0002510516,0.005478234],"genre_scores_gemma":[0.06181786,0.001160191,0.9114111,0.002416542,0.0002928187,0.02174414,0.0001342817,0.00005715268,0.0009658083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1636037,"threshold_uncertainty_score":0.8652293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4847477091923624,"score_gpt":0.4999049966129594,"score_spread":0.01515728742059702,"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."}}