{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3663313,0.001724962,0.004264637,0.002265258,0.0009281942,0.003630359,0.003014833,0.004673433,0.003521246],"category_scores_gemma":[0.6860341,0.00138699,0.003337315,0.002747265,0.007487895,0.008798009,0.003746827,0.005504161,0.0005647525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977779,"about_ca_system_score_gemma":0.007409425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008940801,"about_ca_topic_score_gemma":0.0005850265,"domain_scores_codex":[0.5768247,0.3973459,0.007745134,0.005454746,0.01121203,0.001417471],"domain_scores_gemma":[0.1956101,0.7655203,0.01688059,0.01708754,0.004398743,0.0005027356],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002641563,0.0004086895,0.01225382,0.002641408,0.003219709,0.0001744989,0.001379153,0.1197816,0.0005239825,0.6504811,0.002643225,0.2038514],"study_design_scores_gemma":[0.001196514,0.001234231,0.003132682,0.001006717,0.0007843705,0.0001576608,0.0002421354,0.1917675,0.001935303,0.7949737,0.003445029,0.0001242265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01585924,0.001917267,0.9756988,0.003419502,0.0001619788,0.0006423842,0.0001621352,0.000191525,0.001947094],"genre_scores_gemma":[0.505818,0.002971535,0.4836259,0.002553642,0.0004005723,0.003223719,0.0003255128,0.0001437537,0.0009372762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6336687,"threshold_uncertainty_score":0.7814264,"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."}}