{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891503,0.0001896574,0.0004420975,0.00007545023,0.0002535295,0.00006915633,0.002441068,0.00004172781,0.00006724954],"category_scores_gemma":[0.001774235,0.0001040521,0.00007790498,0.0008495025,0.0001339285,0.0008593565,0.001487577,0.0001343506,0.000001299961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004550105,"about_ca_system_score_gemma":0.0001081084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684974,"about_ca_topic_score_gemma":0.01129653,"domain_scores_codex":[0.9979784,0.0001646088,0.0005617312,0.0005465719,0.0005270157,0.0002216491],"domain_scores_gemma":[0.9913031,0.003051549,0.0005904346,0.004793815,0.0002330766,0.00002800879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001348759,0.0006614386,0.9904828,0.00004582056,0.002704792,0.000002277935,0.0002196569,0.001653492,0.000455177,0.0006638466,0.002792141,0.0001837011],"study_design_scores_gemma":[0.0009206799,0.000182046,0.3544206,0.00009205617,0.02352455,0.00000186191,0.000808211,0.5959566,0.0008479098,0.02257399,0.0002653426,0.0004061263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2965656,0.00004476717,0.689873,0.00008570911,0.00001691277,0.001572776,0.01176934,0.0000543787,0.0000175901],"genre_scores_gemma":[0.9077249,0.000008773492,0.0891675,0.0000328823,0.00004921956,0.00008897662,0.002795682,0.00002079582,0.000111291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6360621,"threshold_uncertainty_score":0.7082312,"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."}}