{"id":"W3005076266","doi":"10.1177/0962280220902179","title":"Modeling of cumulative effects of time-varying drug exposures on within-subject changes in a continuous outcome","year":2020,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research","keywords":"Random effects model; Statistics; Outcome (game theory); Econometrics; Mixed model; Medicine; Regression analysis; Correlation; Mathematics; Computer science; Meta-analysis; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01107844,0.001067408,0.001462495,0.0009546757,0.000428317,0.001198769,0.002439022,0.001891997,0.002887016],"category_scores_gemma":[0.02117734,0.0006665279,0.003027646,0.001032055,0.001197484,0.0009585535,0.001367479,0.002274049,0.0003487204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051938,"about_ca_system_score_gemma":0.002169452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01704205,"about_ca_topic_score_gemma":0.01084113,"domain_scores_codex":[0.9971516,0.001699622,0.0001223939,0.0006207698,0.0002239841,0.0001817366],"domain_scores_gemma":[0.9862006,0.01070512,0.001314988,0.00104113,0.00054348,0.0001945916],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002669444,0.00009701752,0.01605593,0.0001152187,0.0004107462,0.0002553632,0.0001740998,0.9443371,0.001012616,0.01966723,0.0004049941,0.01720267],"study_design_scores_gemma":[0.00006323819,0.0001338042,0.003513729,0.00003006214,0.0001379934,0.00005910541,0.00002437357,0.9815395,0.0004296024,0.01318966,0.0008495151,0.00002943436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1341535,0.0006422006,0.8617375,0.000587463,0.0001264915,0.0002926909,0.001001435,0.0003218588,0.001136897],"genre_scores_gemma":[0.8491136,0.0007682554,0.1414565,0.0003256391,0.00008641167,0.001250506,0.001223619,0.00008491911,0.005690532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9889216,"threshold_uncertainty_score":0.0585891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6354828221668393,"score_gpt":0.6687579758259045,"score_spread":0.03327515365906519,"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."}}