{"id":"W2171600077","doi":"10.1093/biostatistics/kxp050","title":"Confidence intervals that match Fisher's exact or Blaker's exact tests","year":2009,"lang":"en","type":"article","venue":"Biostatistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exact test; Exact statistics; Confidence interval; Mathematics; Statistics; Credible interval; Coverage probability; Robust confidence intervals; CDF-based nonparametric confidence interval; Tolerance interval; Binomial proportion confidence interval; Confidence region; Confidence distribution; Poisson distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05912369,0.001405415,0.002709201,0.008001457,0.0009855781,0.004641282,0.005012374,0.003607675,0.01831946],"category_scores_gemma":[0.5770164,0.0009095849,0.002450467,0.009796565,0.002951852,0.006796514,0.004713609,0.005482443,0.004237712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125458,"about_ca_system_score_gemma":0.001861599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708267,"about_ca_topic_score_gemma":0.0009233174,"domain_scores_codex":[0.9264167,0.0411423,0.006196842,0.007879194,0.01666749,0.001697483],"domain_scores_gemma":[0.5028275,0.4122987,0.02503884,0.03349835,0.02409117,0.002245457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002378535,0.0003609896,0.02280525,0.003342852,0.00160325,0.001157107,0.002496298,0.03714865,0.002057673,0.3012026,0.05474187,0.570705],"study_design_scores_gemma":[0.0007223879,0.000987157,0.02046139,0.0024083,0.0007959661,0.002775709,0.001164586,0.1162868,0.007115649,0.7428464,0.1039145,0.0005211736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0228004,0.005139828,0.9465501,0.001547498,0.001245927,0.0005842182,0.00238972,0.003381594,0.01636086],"genre_scores_gemma":[0.3819973,0.001887422,0.6047442,0.00154663,0.001049346,0.002334115,0.002594791,0.001586786,0.002259391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05912369,"threshold_uncertainty_score":0.3126797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1830855602638954,"score_gpt":0.4425573308257128,"score_spread":0.2594717705618174,"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."}}