Models for the analysis of repeated continuous outcome measures in clinical trials
Alysha M De Livera, Sophie Zaloumis, Julie A Simpson
Respirology | WILEY-BLACKWELL | Published : 2014
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.
Awarded by Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence grant
We thank Michael Abramson and Pam Simpson for the provision of the data from the SPIRO-GP randomized controlled trial. Alysha M De Livera and Sophie Zaloumis were supported under an Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence grant, ID# 1035261, awarded to the Victorian Centre for Biostatistics (ViCBiostat).