{"id":"W2106436016","doi":"10.1007/s00038-010-0184-x","title":"Using Directed Acyclic Graphs to detect limitations of traditional regression in longitudinal studies","year":2010,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Confounding; Mediation; Regression; Longitudinal data; Longitudinal study; Econometrics; Statistics; Directed acyclic graph; Regression analysis; Computer science; Mathematics; Data mining; Algorithm; Sociology","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":[0.05886178,0.001190929,0.001445226,0.005921967,0.001002472,0.002012565,0.002770831,0.002026587,0.00182708],"category_scores_gemma":[0.2898883,0.001121838,0.001736201,0.004179193,0.001726317,0.003661591,0.001693575,0.002633317,0.0002110607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009023495,"about_ca_system_score_gemma":0.0020459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637154,"about_ca_topic_score_gemma":0.006508483,"domain_scores_codex":[0.9691572,0.02570914,0.001106538,0.002615395,0.001116237,0.0002954766],"domain_scores_gemma":[0.3282155,0.6432534,0.0106427,0.01404245,0.003082172,0.0007637151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002285063,0.0007367938,0.3527536,0.002069789,0.007862981,0.001548321,0.001448087,0.1900611,0.002707458,0.1093029,0.006089741,0.3231342],"study_design_scores_gemma":[0.0003601,0.0003174101,0.01654908,0.0002415919,0.00182247,0.0004425806,0.0002485656,0.6235923,0.001752184,0.3505872,0.004021402,0.00006513419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08411619,0.002203993,0.9095117,0.0007622102,0.0001463286,0.0002445067,0.001227766,0.001113269,0.0006740702],"genre_scores_gemma":[0.6955621,0.0009387983,0.3002625,0.0003940424,0.000166938,0.0005789817,0.00142512,0.0001552947,0.0005162793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05886178,"threshold_uncertainty_score":0.3112946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7059062973471197,"score_gpt":0.5424706144778019,"score_spread":0.1634356828693179,"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."}}