{"id":"W4416910352","doi":"10.1016/j.cmi.2025.11.027","title":"Comparing different methods for analysing hierarchical composite endpoints: two illustrative case studies with post hoc analyses of the BALANCE (Bacteraemia Antibiotic Length Actually Needed for Clinical Effectiveness) and CAMERA2 (Combination Antibiotics for methicillin-resistant Staphylococcus aureus) randomized clinical trials","year":2025,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Health Research Council of New Zealand; National Health and Medical Research Council; Canadian Institutes of Health Research; University of Melbourne; University of Toronto; National Medical Research Council; Ontario Ministry of Health and Long-Term Care","keywords":"Post hoc; Balance (ability); Antibiotics; Post-hoc analysis; Antibacterial agent","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08361448,0.0005653626,0.006992361,0.0002169287,0.0005569026,0.00007421001,0.0002186308,0.0008843237,0.000002086593],"category_scores_gemma":[0.3910193,0.0003251617,0.001760882,0.0003309875,0.003962522,0.00009309784,0.0002289921,0.001079709,1.071451e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000729479,"about_ca_system_score_gemma":0.0001731085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012306,"about_ca_topic_score_gemma":0.00007950238,"domain_scores_codex":[0.9495688,0.04271855,0.006037366,0.001152027,0.00008590493,0.0004373641],"domain_scores_gemma":[0.5040507,0.4920772,0.002286249,0.0004048759,0.001062317,0.0001187236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.5030146,0.005842771,0.08746845,0.006859219,0.03868211,0.00001133316,0.0004973229,0.00006392147,0.1721292,0.07419376,0.0002814739,0.1109558],"study_design_scores_gemma":[0.3849096,0.01533742,0.04478175,0.003974676,0.0345079,0.00005331639,0.0007111892,0.02492136,0.06500153,0.4241458,0.0001275641,0.001527837],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5487317,0.0003254275,0.4454065,0.0003025346,0.00108036,0.003925685,0.0001953862,0.00002908358,0.000003337906],"genre_scores_gemma":[0.7277362,0.0009166995,0.2707143,0.0002793386,0.0002233782,0.00006533827,0.00002883159,0.0000291256,0.000006773972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4493586,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4927255885045844,"score_gpt":0.631085238800257,"score_spread":0.1383596502956727,"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."}}