{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002324081,0.000123386,0.0006127633,0.0002529563,0.00003548718,0.00001257409,0.0007123935,0.00009658136,0.0001084351],"category_scores_gemma":[0.02121762,0.0001163232,0.0001664569,0.001088872,0.00004703669,0.0000828655,0.0001383828,0.00008897555,0.000007280116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004102342,"about_ca_system_score_gemma":0.00003743304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005826993,"about_ca_topic_score_gemma":0.0002439874,"domain_scores_codex":[0.9975959,0.0002241365,0.001261011,0.0005073546,0.0002262171,0.0001853674],"domain_scores_gemma":[0.9853528,0.01216357,0.0004656436,0.001802502,0.0001597932,0.00005574729],"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":[0.0005571154,0.007291471,0.06219892,0.0006514461,0.002613513,0.000001284269,0.0001199208,0.0475552,0.002147231,0.7116291,0.1134878,0.05174699],"study_design_scores_gemma":[0.0003390836,0.00002007348,0.01822959,0.000019266,0.001270957,9.591377e-8,0.00000452852,0.2822367,0.0000734867,0.6975551,0.0001401563,0.0001108823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002134194,0.00003959904,0.9897321,0.0006352201,0.00003079909,0.0004607629,0.006518514,0.00002438203,0.0004244206],"genre_scores_gemma":[0.05168949,0.000020923,0.9464951,0.00001933858,0.00008336576,0.00008045852,0.001446621,0.00001638174,0.000148314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2346815,"threshold_uncertainty_score":0.9870271,"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."}}