{"id":"W2122717603","doi":"10.1503/cmaj.110977","title":"Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":542,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Cancer Research UK","keywords":"Missing data; Covariate; Computer science; Data mining; Data science; Statistics; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4423327546156466,"score_gpt":0.5402522117396086,"score_spread":0.09791945712396194,"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."}}