{"id":"W2515516029","doi":"10.5539/ijsp.v5n5p16","title":"Considering Both Statistical and Clinical Significance","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Null hypothesis; Type I and type II errors; Statistical significance; Statistical power; Statistical hypothesis testing; Sample size determination; Statistics; Confidence interval; Null (SQL); Equivalence (formal languages); Mathematics; Clinical significance; Alternative hypothesis; Interpretation (philosophy); Interval estimation; Econometrics; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005057891,0.0001417857,0.0005311106,0.00004992364,0.00003855724,0.00006636225,0.0002068787,0.00009507979,0.0002605502],"category_scores_gemma":[0.1136752,0.00008943069,0.00006015273,0.00003028832,0.0008127265,0.00009980542,0.0001219095,0.000248613,0.000002389872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000548814,"about_ca_system_score_gemma":0.0001333017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006287048,"about_ca_topic_score_gemma":0.000008799048,"domain_scores_codex":[0.9968415,0.000615112,0.001632946,0.0002647465,0.000478287,0.0001674316],"domain_scores_gemma":[0.9307901,0.06755088,0.0006317843,0.0001412622,0.0006427137,0.0002432896],"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":[0.0004193497,0.000204162,0.03611026,0.00005540867,0.0002257552,0.0001042272,0.00003670968,1.708991e-7,0.0001132575,0.6834994,0.001974578,0.2772568],"study_design_scores_gemma":[0.001342082,0.0003224578,0.03102795,0.0001201955,0.000074105,0.00008942182,0.00001098986,0.0000761697,0.00004847609,0.9657541,0.001017079,0.000116987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04754514,0.00004546791,0.9487677,0.001383074,0.001062669,0.0001667405,0.000850027,0.00001123603,0.000167911],"genre_scores_gemma":[0.2189096,0.0003654854,0.7802825,0.0001024044,0.000299239,0.000002139529,3.884514e-7,0.00001148419,0.00002673712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2822547,"threshold_uncertainty_score":0.8937907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3992486955807552,"score_gpt":0.5445952669216005,"score_spread":0.1453465713408453,"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."}}