{"id":"W3156818063","doi":"10.1002/sim.9002","title":"Semiparametric recurrent event vs time‐to‐first‐event analyses in randomized trials: Estimands and model misspecification","year":2021,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Censoring (clinical trials); Estimator; Econometrics; Proportional hazards model; Event (particle physics); Semiparametric regression; Semiparametric model; Sample size determination; Statistics; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00548056,0.0002506459,0.001882866,0.0006453616,0.00003696276,0.00001727634,0.0001377162,0.00009578299,0.0002770544],"category_scores_gemma":[0.08024328,0.0002009525,0.00005977835,0.0009459424,0.000155261,0.00005402946,0.0000762885,0.0003029287,0.000009950275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436914,"about_ca_system_score_gemma":0.00009748631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002932949,"about_ca_topic_score_gemma":0.00008249181,"domain_scores_codex":[0.9964209,0.0007203734,0.001681793,0.0004277986,0.000478294,0.0002708236],"domain_scores_gemma":[0.9866794,0.0121411,0.0004155189,0.0003887993,0.0002468486,0.0001283497],"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":[0.03741564,0.002735355,0.0003458657,0.002212513,0.0005808708,0.0006603278,0.01286134,0.02388075,0.01050028,0.6043382,0.1121865,0.1922824],"study_design_scores_gemma":[0.02051833,0.0001768406,0.0000861115,0.0008595826,0.0002059213,0.00000721049,0.0001286487,0.2976755,0.001010602,0.6789537,0.0001503555,0.0002272018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003815863,0.001410793,0.9918494,0.001226928,0.00007717582,0.0009881365,0.00006836508,0.00006078296,0.0005025406],"genre_scores_gemma":[0.135555,0.002449728,0.8606334,0.0001639576,0.00008131217,0.0003046829,0.0001422665,0.00003990232,0.0006297256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2737948,"threshold_uncertainty_score":0.9275042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3039988845923322,"score_gpt":0.5326979569422585,"score_spread":0.2286990723499264,"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."}}