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Remarks on the design and analyses of longitudinal studies for cancer patients with anorexia and weight loss
Author(s) -
LeRademacher Jennifer G.,
Storrick Elizabeth M.,
Jatoi Aminah
Publication year - 2019
Publication title -
journal of cachexia, sarcopenia and muscle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.803
H-Index - 66
eISSN - 2190-6009
pISSN - 2190-5991
DOI - 10.1002/jcsm.12480
Subject(s) - anorexia , longitudinal data , longitudinal study , weight loss , psychological intervention , cancer , psychology , medicine , computer science , psychiatry , statistics , mathematics , data mining , obesity
Abstract Longitudinal data serve an important role in understanding the cancer anorexia weight loss syndrome and in testing interventions to palliative and treat patients who develop this syndrome. The element of time and the interrelatedness of data points define longitudinal data and add to the richness of this type of data. However, longitudinal data can also give rise to non‐random, missing data that can lead to flawed conclusions. This paper discusses these issues and suggests practical considerations for design and analysis of longitudinal cancer anorexia weight loss studies.

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