{"id":"W2116345053","doi":"10.1007/s10985-006-9012-2","title":"A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up","year":2006,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Incidence (geometry); Statistics; Cohort; Null hypothesis; Test (biology); Econometrics; Statistical hypothesis testing; Null (SQL); Medicine; Mathematics; Demography; Computer science; Data mining; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.05840151,0.001056356,0.0021399,0.003260897,0.001555672,0.002539818,0.004098051,0.002251771,0.009639168],"category_scores_gemma":[0.2813498,0.0007657883,0.004077654,0.00339776,0.004768232,0.004450948,0.003012004,0.003001205,0.0005158015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282659,"about_ca_system_score_gemma":0.006165827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288469,"about_ca_topic_score_gemma":0.002389824,"domain_scores_codex":[0.9709733,0.01953224,0.001643024,0.003949551,0.002633845,0.001267969],"domain_scores_gemma":[0.3980643,0.5637871,0.01198126,0.02017639,0.004399939,0.001591003],"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":[0.001734825,0.001237546,0.2258188,0.001181393,0.004479037,0.002749883,0.002625464,0.06769074,0.005118364,0.5573722,0.005847733,0.1241441],"study_design_scores_gemma":[0.001330433,0.001873837,0.06781149,0.000207786,0.001114501,0.001537916,0.001164568,0.3847267,0.002812759,0.5336498,0.00362233,0.0001479157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2443639,0.000467986,0.7465474,0.002279533,0.0001531427,0.0003205385,0.001786712,0.0006489249,0.003431952],"genre_scores_gemma":[0.8901526,0.0002273175,0.1049117,0.0003989851,0.0003539696,0.000517834,0.001933721,0.00008643959,0.001417486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05840151,"threshold_uncertainty_score":0.3088604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603998662070037,"score_gpt":0.4110143209759239,"score_spread":0.2506144547689202,"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."}}