{"id":"W2111616613","doi":"10.1002/sim.5827","title":"Inverse probability weighted estimating equations for randomized trials in transfusion medicine","year":2013,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confounding; Randomized controlled trial; Inverse probability; Clinical trial; Platelet transfusion; Intensive care medicine; Platelet; Emergency medicine; Internal medicine; Statistics; Mathematics","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":[0.2635638,0.004864612,0.01373979,0.006955327,0.001046886,0.006140344,0.007546388,0.007861797,0.01563761],"category_scores_gemma":[0.5260875,0.002853988,0.00738505,0.008306798,0.004413569,0.005481907,0.004586077,0.01479613,0.003758671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005849331,"about_ca_system_score_gemma":0.008378008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005039694,"about_ca_topic_score_gemma":0.003595122,"domain_scores_codex":[0.5833477,0.390486,0.009236477,0.008155696,0.007619967,0.001154137],"domain_scores_gemma":[0.3390643,0.620731,0.01822617,0.01323366,0.007894892,0.0008499639],"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":[0.003105717,0.0004848335,0.006738797,0.01272219,0.01373501,0.0007679528,0.0008420922,0.1670792,0.0005236683,0.4866014,0.03649243,0.2709067],"study_design_scores_gemma":[0.00246855,0.0008240195,0.001484217,0.002979548,0.002233123,0.0002837167,0.0001329902,0.436105,0.000511145,0.5253173,0.0274171,0.0002433185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001404518,0.006615351,0.9808539,0.002928034,0.001755548,0.004019212,0.0007281423,0.0006397123,0.001055661],"genre_scores_gemma":[0.0360016,0.006055729,0.9158813,0.002250954,0.001312229,0.03339432,0.001384797,0.0002715455,0.003447561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2635638,"threshold_uncertainty_score":0.908157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5703369182139181,"score_gpt":0.5825705942847677,"score_spread":0.01223367607084958,"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."}}