{"id":"W7043234492","doi":"","title":"Sample Size Formulas for Estimating Risk Ratios with the Modified Poisson Model for Binary Outcomes","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Sample size determination; Logistic regression; Poisson regression; Poisson distribution; Estimation; Binary data; Regression analysis; Regression; Sample (material)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006879101,0.0003496371,0.0005179123,0.00009226189,0.0006840242,0.0002830162,0.0005137305,0.0001612772,0.00001206354],"category_scores_gemma":[0.004295887,0.0002636102,0.0002155727,0.0002864568,0.000104386,0.0006106472,0.0001863599,0.0003661742,0.000003545311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132069,"about_ca_system_score_gemma":0.0001913495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003895479,"about_ca_topic_score_gemma":0.0005568326,"domain_scores_codex":[0.9980274,0.0002645866,0.0003230928,0.0005520028,0.0003114227,0.0005215198],"domain_scores_gemma":[0.9870363,0.01141087,0.0003367471,0.0006200323,0.0004286433,0.0001674343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001752056,0.0008042176,0.6986952,0.001519823,0.0009911626,0.0001615772,0.003822746,0.004058377,0.001150348,0.2728932,0.00002995353,0.01412133],"study_design_scores_gemma":[0.00721276,0.0007566441,0.1179217,0.0004747496,0.001500486,0.00003322223,0.00116926,0.04761079,0.00246955,0.8192402,0.0001696644,0.001440959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3911765,0.000006072671,0.607269,0.0003954604,0.00006545473,0.0006101727,0.0003816797,0.0000743522,0.00002134149],"genre_scores_gemma":[0.3295877,0.000003531535,0.6683801,0.0002360298,0.00005395092,0.00002526761,0.00002050917,0.00005677704,0.001636112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5807735,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2032375926585992,"score_gpt":0.3965082956106596,"score_spread":0.1932707029520604,"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."}}