{"id":"W1977200598","doi":"10.6000/1929-6029.2012.01.02.01","title":"Estimating the Complier Average Causal Effect for Exponential Survival in the Presence of Mid-Trial Switching","year":2012,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Estimator; Econometrics; Treatment effect; Delta method; Aggregate (composite); Statistics; Economics; Computer science; Mathematics; Psychology; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.2266623,0.001080516,0.003418424,0.002486211,0.0007448143,0.002805769,0.002920803,0.00347568,0.003880213],"category_scores_gemma":[0.4054307,0.001020406,0.004716446,0.002103181,0.00358315,0.003889138,0.003038819,0.004493034,0.0004450771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341213,"about_ca_system_score_gemma":0.00222019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613997,"about_ca_topic_score_gemma":0.001280689,"domain_scores_codex":[0.867619,0.1165621,0.003696044,0.006360863,0.004659681,0.001102371],"domain_scores_gemma":[0.4663152,0.4789205,0.0212832,0.02930439,0.003337801,0.0008390126],"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":[0.004913255,0.0006868172,0.0722191,0.002357856,0.00597813,0.001374012,0.003119877,0.162624,0.002175483,0.4339933,0.003046311,0.3075118],"study_design_scores_gemma":[0.0008662608,0.002404455,0.01689056,0.0004173924,0.002006038,0.0008352175,0.0002769859,0.5365037,0.002714065,0.4319284,0.004985086,0.0001717876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04126619,0.0008433138,0.9547841,0.0007531366,0.00009684498,0.0005276779,0.0001915882,0.0002748167,0.001262318],"genre_scores_gemma":[0.60352,0.0008187696,0.3900443,0.001128256,0.0002505513,0.001700716,0.0005573994,0.0001166672,0.001863274],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2266623,"threshold_uncertainty_score":0.9536631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2504480321152424,"score_gpt":0.5602161870279413,"score_spread":0.3097681549126989,"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."}}