{"id":"W2172095467","doi":"10.1002/sim.2663","title":"On estimating treatment effects under non‐compliance in randomized clinical trials: are intent‐to‐treat or instrumental variables analyses perfect solutions?","year":2006,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Instrumental variable; Estimator; Protocol (science); Econometrics; Estimation; Randomized controlled trial; Average treatment effect; Statistics; Computer science; Medicine; Mathematics; Economics; Surgery; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006750566,0.0004092062,0.002713348,0.00042472,0.00008741608,0.00002254219,0.0001778023,0.0001366389,0.0001298963],"category_scores_gemma":[0.05634877,0.0002559892,0.000116864,0.0004574468,0.0003654315,0.0000679058,0.00006435854,0.0003602598,0.0000122104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006811937,"about_ca_system_score_gemma":0.00008908296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008509464,"about_ca_topic_score_gemma":0.0009769944,"domain_scores_codex":[0.9944526,0.002056444,0.00215716,0.0004943327,0.0003817836,0.000457664],"domain_scores_gemma":[0.9473485,0.05141111,0.0006509892,0.0003829775,0.00009537979,0.0001110058],"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":[0.0572212,0.005881715,0.004442085,0.001939636,0.0006435305,0.001273843,0.001637941,0.009429422,0.002923042,0.7617544,0.02137059,0.1314826],"study_design_scores_gemma":[0.0835676,0.001779157,0.0007648306,0.00476924,0.0004353266,0.00001185308,0.0004402441,0.07647093,0.00074827,0.8306346,0.00000737662,0.0003705877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03114725,0.00009740709,0.9650119,0.0002904267,0.0003438477,0.002205092,0.00008671127,0.0001162197,0.0007011769],"genre_scores_gemma":[0.4517892,0.00008745116,0.5470322,0.0001839411,0.0001976089,0.0004320075,0.00006623706,0.00003693964,0.000174452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.420642,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5017714453619644,"score_gpt":0.591935176063639,"score_spread":0.0901637307016746,"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."}}