Efficient analysis of ordinal data from clinical trials in head injury
dc.contributor.advisor
Murray, Gordon
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dc.contributor.advisor
Anderson, Niall
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dc.contributor.author
McHugh, Gillian Stephanie
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dc.date.accessioned
2012-10-10T09:38:54Z
dc.date.available
2012-10-10T09:38:54Z
dc.date.issued
2012-06-30
dc.description.abstract
Many promising Phase II trials have been carried out in head injury however to date
there has been no successful translation of the positive results from these explanatory
trials into improved patient outcomes in Phase III trials. Many reasons have been
hypothesised for this failure. Outcomes in head injury trials are usually measured
using the five point Glasgow Outcome Scale. Traditionally the ordinality of this
scale is disregarded and it is dichotomised into two groups, favourable and
unfavourable outcome. This thesis explores whether suboptimal statistical analysis
techniques, including the dichotomisation of outcomes could have contributed to the
reasons why Phase III trials have been unsuccessful.
Based on eleven completed head injury studies, simulation modelling is used to
compare outcome as assessed by the conventional dichotomy with both modelling
that takes into account the ordered nature of the outcome (proportional odds
modelling) and modelling which individualises a patient’s risk of a good or poor
outcome ( the ‘sliding dichotomy’). The results of this modelling show that both
analyses which use the full outcome scale and those which individualise risk show
great efficiency gains (as measured by reduction in required sample sizes) over the
conventional analysis of the binary outcome. These results are consistent both when
the simulated treatment effects followed a proportional odds model and when they
did not. Consistent results were also observed when targeting or restricting
improvement to groups of subjects based on clinical characteristics or prognosis.
Although proportional odds modelling shows consistently greater sample size
reductions the choice of whether to use proportional odds modelling or the sliding
dichotomy depends on the question of interest.
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dc.identifier.uri
http://hdl.handle.net/1842/6479
dc.language.iso
en
dc.publisher
The University of Edinburgh
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Lu, J., Murray, G. D., Steyerberg, E. W., Butcher, I., McHugh, G. S., Lingsma, H., Mushkudiani, N., Choi, S., Maas, A. I., & Marmarou, A. 2008, "Effects of Glasgow Outcome Scale misclassification on traumatic brain injury clinical trials", Journal of Neurotrauma, vol. 25, no. 6, pp. 641-651.
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Maas, A. I. R., Steyerberg, E. W., Butcher, I., Dammers, R., Lu, J., Marmarou, A., Mushkudiani, N. A., McHugh, G. S., & Murray, G. D. 2007, "Prognostic value of computerized tomography scan characteristics in traumatic brain injury: Results from the IMPACT study", Journal of Neurotrauma, vol. 24, no. 2, pp. 303-314.
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Marmarou, A., Lu, J., Butcher, I., McHugh, G. S., Murray, G. D., Steyerberg, E. W., Mushkudiani, N. A., Choi, S., & Maas, A. I. R. 2007, "Prognostic value of the Glasgow coma scale and pupil reactivity in traumatic brain injury assessed prehospital and on enrollment: An IMPACT analysis", Journal of Neurotrauma, vol. 24, no. 2, pp. 270-280.
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McHugh, G. S., Butcher, I., Steyerberg, E. W., Lu, J., Mushkudiani, N., Marmarou, A., Maas, A. I. R., & Murray, G. D. 2007a, "Statistical approaches to the univariate prognostic analysis of the IMPACT database on traumatic brain injury", Journal of Neurotrauma, vol. 24, no. 2, pp. 251-258.
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McHugh, G. S., Butcher, I., Steyerberg, E. W., Marmarou, A., Lu, J., Lingsma, H. F., Weir, J., Maas, A. I., & Murray, G. D. 2010, "A simulation study evaluating approaches to the analysis of ordinal outcome data in randomized controlled trials in traumatic brain injury: results from the IMPACT Project", Clinical Trials, vol. 7, no. 1, pp. 44-57.
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McHugh, G. S., Engel, D. C., Butcher, I., Steyerberg, E. W., Lu, J., Mushkudiani, N., Hernandez, A. V., Marmarou, A., Maas, A. I. R., & Murray, G. D. 2007b, "Prognostic value of secondary insults in traumatic brain injury: results from the IMPACT study", Journal of Neurotrauma, vol. 24, no. 2, pp. 287-293.
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Murray, G. D., Butcher, I., McHugh, G. S., Lu, J., Mushkudiani, N. A., Maas, A. I. R., Marmarou, A., & Steyerberg, E. W. 2007, "Multivariable prognostic analysis in traumatic brain injury: Results from the IMPACT study", Journal of Neurotrauma, vol. 24, no. 2, pp. 329-337.
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Roozenbeek, B., Maas, A. I., Lingsma, H. F., Butcher, I., Lu, J., Marmarou, A., McHugh, G. S., Weir, J., Murray, G. D., & Steyerberg, E. W. 2009a, "Baseline characteristics and statistical power in randomized controlled trials: selection, prognostic targeting, or covariate adjustment?", Critical Care Medicine, vol. 37, no. 10, pp. 2683-2690.
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Roozenbeek, B., Maas, A. I., Marmarou, A., Butcher, I., Lingsma, H. F., Lu, J., McHugh, G. S., Murray, G. D., & Steyerberg, E. W. 2009b, "The influence of enrollment criteria on recruitment and outcome distribution in traumatic brain injury studies: results from the impact study", Journal of Neurotrauma, vol. 26, no. 7, pp. 1069-1075.
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Steyerberg, E., Mushkudiani, N., Perel, P., Butcher, I., Lu, J., McHugh, G. S., Murray, G. D., Marmarou, A., Roberts, I., Habbema, J. D., & Maas, A. I. Coefficients from model fitting. http://www.tbi-impact.org . 2011.
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Steyerberg, E. W., Mushkudiani, N., Perel, P., Butcher, I., Lu, J., McHugh, G. S., Murray, G. D., Marmarou, A., Roberts, I., Habbema, J. D., & Maas, A. I. 2008, "Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics", PLoS Medicine, vol. 5, no. 8, p. e165.
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Van Beek, J. G. M., Mushkudiani, N. A., Steyerberg, E. W., Butcher, I., McHugh, G. S., Lu, J., Marmarou, A., Murray, G. D., & Maas, A. I. R. 2007, "Prognostic value of admission laboratory parameters in traumatic brain injury: Results from the IMPACT study", Journal of Neurotrauma, vol. 24, no. 2, pp. 315-328.
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Weir, J., Steyerberg, E. W., Butcher, I., Lu, J., Lingsma, H. F., McHugh, G. S., Roozenbeek, B., Maas, A. I., & Murray, G. D. 2012, "Does the Extended Glasgow Outcome Scale add value to the conventional Glasgow Outcome Scale?", Journal of Neurotrauma, vol. 29, no. 1, pp. 53-58.
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dc.subject
statistics
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dc.subject
head injury
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dc.subject
ordinal
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dc.title
Efficient analysis of ordinal data from clinical trials in head injury
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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