Inter-university Neuroscience & Mental Health Conference
Statistical modelling of post-stroke aphasia recovery
Sydney, NSW, Australia
/University of Technology Sydney
/University of Technology Sydney/DVC (Research)
/University of Technology Sydney/DVC (Teaching and Learning)
Background: Aphasia is a communication disorder caused by damage to the language centres of the brain due to Traumatic Brain Injury or Stroke. The Western Aphasia Battery Aphasia Quotient (AQ) is a standardised test battery with high testretest reliability but is negatively affected by a ceiling effect. Maximal Potential Recovery (MPR) is calculated from the AQ by dividing the improvement in AQ (from baseline) by the maximum achievable improvement. The MPR was introduced to overcome the ceiling effect of the AQ. This work assesses the use of MPR to model post-stroke aphasia recovery to determine the most statistically appropriate model. Methods: Secondary analysis of data from two Australian randomised controlled trials was used to compare competing statistical models. Data from study 1 (N=59) was used to develop the models with different outcome measures: a) AQ and b) MPR. Data from study 2 (N=20) was used to validate and compare the models. Quasi Information Criterion (QIC), Residual plots and Residual Sum of Squares (RSS) were compared across the two models to determine the optimal aphasia measure. Results: The MPR model demonstrates substantially lower values for QIC and RSS. It also demonstrates considerable improvement in residual scores compared to the AQ model. The lower values of QIC together with the residual plot indicate a better statistical model fit; the lower value of RSS indicates greater accuracy in predicting recovery. Conclusions: Modelling aphasia recovery on MPR provides a better fit than AQ. This provides a more accurate prediction of recovery.
OPUS (Open Publications of UTS Scholars) is the UTS institutional repository. It showcases the research of UTS staff and postgraduate students to a global audience. For you, as a researcher, OPUS increases the visibility and accessibility of your research by making it openly available regardless of where you choose to publish.
Items in OPUS are enhanced with high quality metadata and seeded to search engines such as Google Scholar as well as being linked to your UTS research profile, increasing discoverability and opportunities for citation of your work and collaboration. In addition, works in OPUS are preserved for long-term access and discovery.
The UTS Open Access Policy requires UTS research outputs to be openly available via OPUS. Depositing your work in OPUS also assists you in complying with ARC, NHMRC and other funder Open Access policies. Providing Open Access to your research outputs through OPUS not only ensures you comply with these important policies, but increases opportunities for other researchers to cite and build upon your work.
OPUS archives UTS research submitted for the UTS Research Output Collection (UTS ROC) and Excellence in Research for Australia (ERA). It also stores digital theses and forms of scholarship that do not usually see formal publication.
How can you deposit works in OPUS?
When you claim (or enter) your research in Symplectic Elements, simply upload a copy of your work which can be made openly available. Symplectic provides information on which version of your work to upload. If you are unsure, please supply a copy of the Accepted Manuscript version. Ensure you check the box to "agree to the OPUS license terms".
Once uploaded, your works are automatically sent to OPUS and placed temporarily in Closed Access until reviewed by UTS Library staff.
Library staff check to ensure compliance with copyright and publisher agreements
If the version you supplied cannot be hosted in OPUS you may receive an email requesting a copy of the Accepted Manuscript
Once items are cleared of copyright constraints and/or publisher embargoes, your work is moved to Open Access and made accessible to the public.
Instructions are available from the Symplectic User Guide or contact email@example.com for further information.