{"id":"W2080813654","doi":"10.1002/sim.1173","title":"Number needed to treat (NNT): estimation of a measure of clinical benefit","year":2001,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Number needed to treat; Estimator; Context (archaeology); Event (particle physics); Medicine; Randomized controlled trial; Statistics; Absolute risk reduction; Clinical trial; Confidence interval; Econometrics; Computer science; Relative risk; Mathematics; Surgery; Internal medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007409956,0.0002189255,0.001738422,0.0001526554,0.00002111141,0.000003589773,0.0002843479,0.0002194473,0.001372041],"category_scores_gemma":[0.3215169,0.0001730888,0.00008068218,0.0006172201,0.0004398466,0.0000297792,0.00007016233,0.0003460506,0.00002517083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004314076,"about_ca_system_score_gemma":0.00007496063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002703744,"about_ca_topic_score_gemma":0.00007236811,"domain_scores_codex":[0.9944819,0.0006243607,0.003371296,0.000359871,0.0008730227,0.0002895048],"domain_scores_gemma":[0.937782,0.0602585,0.0007058089,0.0005626336,0.0004645609,0.0002264497],"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":[0.001366439,0.0008286709,0.01101133,0.0007196868,0.00009719249,0.00008179738,0.0009967112,0.0001443285,0.0002068403,0.671365,0.02851841,0.2846636],"study_design_scores_gemma":[0.003435257,0.0007375472,0.006223049,0.0007935995,0.000225601,0.000008316575,0.0002433961,0.00254856,0.0002740449,0.9852033,0.0001424139,0.0001648699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06820636,0.00002118884,0.9210532,0.0008020591,0.0006724323,0.0006545731,0.0003063103,0.00002886592,0.008255048],"genre_scores_gemma":[0.1283495,0.00006515127,0.8707464,0.000239555,0.0002431632,0.00002054743,0.000009351901,0.00003284952,0.000293495],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.314107,"threshold_uncertainty_score":0.9995409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5337564789862494,"score_gpt":0.6268482031556304,"score_spread":0.09309172416938094,"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."}}