Prediction versus aetiology: Common pitfalls and how to avoid them

Nephrology Dialysis Transplantation

Volumn 32, Issue , 2017, Pages ii1-ii5

  Van Diepen, Merel ^a   Ramspek, Chava L ^a   Jager, Kitty J ^b   Zoccali, Carmine ^c   Dekker, Friedo W ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

^c CNR   (Italy)

Author keywords

Aetiological research; Causality; Multivariable modelling; Prediction research; Risk prediction

Indexed keywords

HEMOGLOBIN A1C;

BODY MASS; CHRONIC KIDNEY FAILURE; CLINICAL DECISION MAKING; CLINICAL PRACTICE; DISEASE COURSE; END STAGE RENAL DISEASE; EPIDEMIOLOGICAL DATA; GLOMERULUS FILTRATION RATE; HUMAN; HYPERTENSION; PATHOGENESIS; PRIORITY JOURNAL; PUBLICATION; REGRESSION ANALYSIS; REVIEW; RISK FACTOR; SYSTOLIC BLOOD PRESSURE; CAUSALITY; EPIDEMIOLOGY; METHODOLOGY; PROGNOSIS; THEORETICAL MODEL;

CAUSALITY; EPIDEMIOLOGIC STUDIES; HUMANS; MODELS, THEORETICAL; PROGNOSIS; RESEARCH DESIGN; RISK FACTORS;

EID: 85019160976     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfw459     Document Type: Review

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