{"id":"W2070196328","doi":"10.1007/s10985-005-7221-8","title":"Implications of Model Misspecification in Robust Tests for Recurrent Events","year":2006,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marginal model; Estimator; Econometrics; Censoring (clinical trials); Marginal structural model; Marginal distribution; Statistics; Null hypothesis; Statistical hypothesis testing; Computer science; Mathematics; Regression analysis; Causal inference; Random variable","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4660193,0.003134106,0.008624297,0.002859453,0.00200227,0.00585498,0.008620037,0.007972023,0.007690379],"category_scores_gemma":[0.8046261,0.002950312,0.007951757,0.003915804,0.01348586,0.01187142,0.007319777,0.0135595,0.0007088438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511617,"about_ca_system_score_gemma":0.006519428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003923941,"about_ca_topic_score_gemma":0.003609933,"domain_scores_codex":[0.4964832,0.4482049,0.01583185,0.02434562,0.0122532,0.002881265],"domain_scores_gemma":[0.05932952,0.891899,0.01491561,0.03032427,0.002755269,0.0007762164],"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":[0.005572977,0.0004326393,0.03717709,0.002158699,0.01313101,0.004004539,0.002985382,0.1688126,0.001142061,0.5972302,0.01244386,0.154909],"study_design_scores_gemma":[0.001019646,0.00122635,0.008695103,0.000366764,0.002081687,0.00136384,0.0002891897,0.3565322,0.001933775,0.6222428,0.004037096,0.0002116538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0212467,0.002426532,0.9645108,0.008047778,0.0005334278,0.0003096857,0.0004516698,0.0007710865,0.00170226],"genre_scores_gemma":[0.7466892,0.001113029,0.2366786,0.006889615,0.001369716,0.001462955,0.0008870387,0.0007615117,0.004148454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4660193,"threshold_uncertainty_score":0.6584933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7080364433530821,"score_gpt":0.5838627304641274,"score_spread":0.1241737128889547,"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."}}