Improving precision by adjusting for prognostic baseline variables in randomized trials with binary outcomes, without regression model assumptions

Contemporary Clinical Trials

Volumn 54, Issue , 2017, Pages 18-24

  Steingrimsson, Jon Arni ^a   Hanley, Daniel F ^b   Rosenblum, Michael ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Covariate adjustment; Post stratification

Indexed keywords

ACCURACY; ARTICLE; ATTRIBUTABLE RISK; BASELINE VARIABLE; CONFIDENCE INTERVAL; CONTROLLED STUDY; DISEASE SEVERITY; HUMAN; INTENTION TO TREAT ANALYSIS; OUTCOME ASSESSMENT; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; SAMPLE SIZE; STANDARDIZATION; STATISTICAL ANALYSIS; BRAIN VENTRICLE HEMORRHAGE; CEREBROVASCULAR ACCIDENT; PROGNOSIS; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL MODEL; STATISTICS;

FIBRINOLYTIC AGENT; TISSUE PLASMINOGEN ACTIVATOR;

CEREBRAL INTRAVENTRICULAR HEMORRHAGE; FIBRINOLYTIC AGENTS; HUMANS; LOGISTIC MODELS; PROGNOSIS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SAMPLE SIZE; STATISTICS AS TOPIC; STROKE; TISSUE PLASMINOGEN ACTIVATOR;

EID: 85009223747     PISSN: 15517144     EISSN: 15592030     Source Type: Journal    
DOI: 10.1016/j.cct.2016.12.026     Document Type: Article

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