{"id":"W2049564589","doi":"10.1002/pst.289","title":"Comparing two independent incidence rates using conditional and unconditional exact tests","year":2007,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products","funders":"","keywords":"Exact statistics; Mathematics; Statistics; Exact test; Wald test; Type I and type II errors; Score test; Poisson distribution; Likelihood-ratio test; Binomial distribution; p-value; Chi-square test; Negative binomial distribution; Binomial test; Nominal level; Statistic; Test statistic; Statistical hypothesis testing; Confidence interval","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003973074,0.0003105127,0.0006097646,0.0001058836,0.0002553481,0.0001031646,0.0002211531,0.0001281215,0.001163431],"category_scores_gemma":[0.03129907,0.0002991394,0.00005935398,0.0002120463,0.0006694726,0.0001371692,0.0002339648,0.0006834608,0.0000465216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840328,"about_ca_system_score_gemma":0.0001092284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002650529,"about_ca_topic_score_gemma":0.00002789263,"domain_scores_codex":[0.9963754,0.0004130678,0.001159565,0.0005039693,0.0009048405,0.0006431212],"domain_scores_gemma":[0.9389828,0.05976782,0.0002865846,0.000196144,0.0002786703,0.0004879282],"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":[0.0002475749,0.0003530042,0.07414464,0.0001894449,0.0001414694,0.0002907981,0.00004815399,0.00006066419,0.001491235,0.9166765,0.001574981,0.004781505],"study_design_scores_gemma":[0.002053912,0.00006172802,0.04573356,0.00006911553,0.0002160735,0.0001280046,0.00002444299,0.02555066,0.002330271,0.9231454,0.0003155801,0.0003712945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1205823,0.0000455052,0.876714,0.00007088899,0.0004295484,0.0003584235,0.001020585,0.00008369332,0.0006950882],"genre_scores_gemma":[0.4956391,0.00000807852,0.503669,0.0003452012,0.000260923,0.000006085835,0.00003067304,0.00002502731,0.00001588894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3750569,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7041238095391115,"score_gpt":0.6470359725829649,"score_spread":0.05708783695614661,"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."}}