{"id":"W1989844406","doi":"10.1016/j.jclinepi.2013.03.014","title":"Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; McMaster University","funders":"Instituto de Salud Carlos III; Canadian Institutes of Health Research","keywords":"Missing data; Imputation (statistics); Meta-analysis; Confidence interval; Data collection; Statistics; Systematic review; Medicine; Computer science; MEDLINE; Econometrics; Data mining; 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":["metaresearch"],"category_scores_codex":[0.3924263,0.008482944,0.0205271,0.03053354,0.004151883,0.01276798,0.01231737,0.01018195,0.03623559],"category_scores_gemma":[0.6697707,0.01211249,0.01883108,0.02186126,0.005688666,0.0134475,0.008794064,0.0138456,0.02433031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772871,"about_ca_system_score_gemma":0.04562162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006632207,"about_ca_topic_score_gemma":0.02369327,"domain_scores_codex":[0.4791929,0.2826624,0.1972002,0.01138798,0.02755269,0.002003883],"domain_scores_gemma":[0.1928516,0.564244,0.06289874,0.04066871,0.1335963,0.005740591],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002852495,0.0004866015,0.003569911,0.1167156,0.005901016,0.0007563337,0.0089482,0.001806104,0.003902949,0.006026466,0.5268319,0.3222025],"study_design_scores_gemma":[0.02650162,0.00152763,0.01349552,0.1784618,0.01559094,0.002397184,0.007843896,0.02572651,0.01192178,0.09166132,0.6213104,0.003561558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003368045,0.03011485,0.5331262,0.04219573,0.01013224,0.2864443,0.0635609,0.02050196,0.01055584],"genre_scores_gemma":[0.004029453,0.003994096,0.8100015,0.003609062,0.0009610169,0.1695195,0.003600008,0.001475848,0.002809434],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6075736,"threshold_uncertainty_score":0.7492465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9802182328684395,"score_gpt":0.742188426636827,"score_spread":0.2380298062316124,"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."}}