Impact of Missing Data Due to Selective Dropouts in Cohort Studies and Clinical Trials

Background. Many cohort studies and clinical trials use repeated measurements of laboratory markers to track disease progression and to evaluate new therapies. A major problem in the analysis of such studies is that marker data are censored in some patients owing to withdrawal, loss to follow-up, or...

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Veröffentlicht in:	Epidemiology (Cambridge, Mass.) Mass.), 2002-05, Vol.13 (3), p.347-355
Hauptverfasser:	Touloumi, Giota, Pocock, Stuart J., Babiker, Abdel G., Darbyshire, Janet H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult AIDS Analysis. Health state Bias Biological and medical sciences CD4 Lymphocyte Count Child Child, Preschool Clinical trials Cohort Studies Data Interpretation, Statistical Didanosine - therapeutic use Disease models Disease progression Epidemiology General aspects Hemophilia Hemophilia A - blood Hemophilia A - complications Hemophilia A - immunology HIV Infections - complications HIV Infections - drug therapy HIV Infections - immunology Humans Infant Least-Squares Analysis Longitudinal Studies Medical sciences Middle Aged Modeling Models, Theoretical Patient Dropouts - statistics & numerical data Public health. Hygiene Public health. Hygiene-occupational medicine Randomized Controlled Trials as Topic - statistics & numerical data Rates of change School dropouts
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