A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods

Journal of Clinical Epidemiology

Volumn 66, Issue 3, 2013, Pages 268-277

  Collins, Gary S ^a   Omar, Omar ^a   Shanyinde, Milensu ^a   Yu, Ly Mee ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Kidney disease; Methodological conduct; Model development; Model validation; Reporting; Risk prediction models

Indexed keywords

BODY MASS; CARDIOVASCULAR DISEASE; CHRONIC KIDNEY DISEASE; CODING; CONGESTIVE HEART FAILURE; DIABETES MELLITUS; ETHNICITY; HUMAN; HYPERTENSION; KIDNEY DYSFUNCTION; KIDNEY FAILURE; MEDICAL HISTORY; METHODOLOGY; MODEL; OUTCOME ASSESSMENT; PERIPHERAL VASCULAR DISEASE; PREDICTION; PREDICTIVE VALUE; PREVALENCE; PRIORITY JOURNAL; REVIEW; RISK ASSESSMENT; SAMPLE SIZE; SCREENING; SMOKING; STUDY DESIGN; SYSTEMATIC REVIEW; SYSTOLIC BLOOD PRESSURE;

DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; RENAL INSUFFICIENCY, CHRONIC; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS;

EID: 84872797683     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2012.06.020     Document Type: Review

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