{"id":"W3025024871","doi":"10.1002/sim.8555","title":"One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods","year":2020,"lang":"en","type":"review","venue":"Statistics in Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Medical Research Council; National Institute for Health and Care Research","keywords":"Restricted maximum likelihood; Statistics; Random effects model; Meta-analysis; Confidence interval; Mathematics; Estimation; Mixed model; Maximum likelihood; Variance (accounting); Covariate; Standard error; Binary number; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2467861,0.00441155,0.01088817,0.006482336,0.000907746,0.006628629,0.006762646,0.005256345,0.009731521],"category_scores_gemma":[0.4261697,0.003291139,0.03857267,0.006342277,0.001925025,0.007434884,0.004170567,0.009654119,0.001534621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003022418,"about_ca_system_score_gemma":0.005674127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264129,"about_ca_topic_score_gemma":0.003723373,"domain_scores_codex":[0.6361275,0.3362302,0.0127915,0.00694718,0.007195905,0.0007077478],"domain_scores_gemma":[0.6353703,0.3306889,0.01088218,0.01626755,0.006235315,0.0005558364],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01541182,0.0006658616,0.007092594,0.1368379,0.243324,0.0003406221,0.002627352,0.08769717,0.001253898,0.1018177,0.01111905,0.3918121],"study_design_scores_gemma":[0.01958903,0.004737769,0.005663226,0.04765752,0.2672014,0.0007630164,0.0005980692,0.2379872,0.00419,0.3671722,0.04313697,0.001303611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005279276,0.0484792,0.9295197,0.002199588,0.0007634626,0.008666579,0.002674378,0.000896132,0.001521724],"genre_scores_gemma":[0.08706845,0.0184118,0.8457195,0.00186785,0.000245116,0.04302249,0.001933023,0.0004582912,0.001273544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7532139,"threshold_uncertainty_score":0.9288468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9611799200684782,"score_gpt":0.7025338956772175,"score_spread":0.2586460243912607,"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."}}