Weighting of the data and analytical approaches may account for differences in overcoming the inadequate representativeness of the respondents to the third wave of a cohort study

Journal of Clinical Epidemiology

Volumn 66, Issue 4, 2013, Pages 461-464

  Taylor, Anne W ^a   Dal Grande, Eleonora ^a   Grant, Janet ^a   Appleton, Sarah ^a   Gill, Tiffany K ^a   Shi, Zumin ^a   Adams, Robert J ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Attrition; Bias; Biomedical; Cohort study; Nonresponse; Representativeness

Indexed keywords

ADULT; ANALYTICAL RESEARCH; ARTICLE; AUSTRALIA; BODY MASS; CHRONIC DISEASE; COHORT ANALYSIS; DATA ANALYSIS; EDUCATIONAL STATUS; FEMALE; HEALTH STATUS; HUMAN; MALE; PRIORITY JOURNAL; RISK FACTOR; SELF REPORT; SEX; SMOKING; SOCIAL STATUS; WORK;

ADULT; AGED; BIAS (EPIDEMIOLOGY); CHRONIC DISEASE; COHORT STUDIES; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; MALE; MIDDLE AGED; PATIENT DROPOUTS; PATIENT SELECTION; RISK FACTORS; SOUTH AUSTRALIA;

EID: 84875244595     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2012.06.021     Document Type: Article

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