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Models for the analysis of repeated continuous outcome measures in clinical trials
Author(s) -
De Livera Alysha M.,
Zaloumis Sophie,
Simpson Julie A.
Publication year - 2014
Publication title -
respirology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.857
H-Index - 85
eISSN - 1440-1843
pISSN - 1323-7799
DOI - 10.1111/resp.12217
Subject(s) - medicine , clinical trial , outcome (game theory) , pulmonary disease , asthma , medical physics , intervention (counseling) , repeated measures design , intensive care medicine , data mining , statistics , computer science , pathology , mathematics , mathematical economics , psychiatry
Repeated continuous outcome measures are common in clinical trials. In this tutorial style paper, using data collected from a trial evaluating an intervention for managing asthma and chronic obstructive pulmonary disease, we demonstrate ways of statistically analysing such data to answer frequently encountered clinical research questions. We illustrate the use of linear mixed effects modelling in doing so and discuss its advantages over several other commonly used approaches. The methods described in this paper can easily be carried out using standard statistical software.