Can We Improve the Statistical Analysis of Stroke Trials?: Statistical Reanalysis of Functional Outcomes in Stroke Trials
Open accessAbstract
Background and Purpose— Most large acute stroke trials have been neutral. Functional outcome is usually analyzed using a yes or no answer, eg, death or dependency versus independence. We assessed which statistical approaches are most efficient in analyzing outcomes from stroke trials. Methods— Individual patient data from acute, rehabilitation and stroke unit trials studying the effects of interventions which alter functional outcome were assessed. Outcomes included modified Rankin Scale, Barthel Index, and “3 questions”. Data were analyzed using a variety of approaches which compare 2 treatment groups. The results for each statistical test for each trial were then compared. Results— Data from 55 datasets were obtained (47 trials, 54 173 patients). The test results differed substantially so that approaches which use the ordered nature of functional outcome data (ordinal logistic regression, t test, robust ranks test, bootstrapping the difference in mean rank) were more efficient statistically than those which collapse the data into 2 groups (χ 2 ; ANOVA, P <0.001). The findings were consistent across different types and sizes of trial and for the different measures of functional outcome. Conclusions— When analyzing functional outcome from stroke trials, statistical tests which use the original ordered data are more efficient and more likely to yield reliable results. Suitable approaches included ordinal logistic regression, t test, and robust ranks test.
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The statistical assumptions underlying the t test were not met for most of the acute data sets.
“However, the statistical assumptions underlying the t test were not met for most of the acute data sets. 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
Continuous analyses based on the t test had comparable power to ordinal analyses when compared with ordinal and dichotomous analyses of existing acute stroke trial data.
“When compared with ordinal and dichotomous analyses of existing acute stroke trial data, continuous analyses (based on the t test) had comparable power to ordinal analyses. 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
Using individual patient data from acute stroke trials, the OAST Collaboration found the ordering of approaches, best first, was: ordinal logistic regression, t test, robust ranks test, bootstrap, Mann-Whitney U/Wilcoxon test, Cochran-Armitage ranks test, 2 x 2 chi-square test, and median test.
“Using individual patient data from acute stroke trials, the OAST Collaboration compared several approaches and found that their ordering ('best' first) was: ordinal logistic regression, t test, robust ranks test, bootstrap, Mann-Whitney U /Wilcoxon test, Cochran-Armitage ranks test, 2 × 2 𝛘 2 test, and median test. 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
The International Stroke Trial was neutral with a dichotomous analysis but positive using a variety of different ordinal analyses.
“(3) International Stroke Trial (IST; aspirin for acute ischemic stroke, Phase III megatrial) was neutral with a dichotomous analysis (primary analysis) 8 but positive using a variety of different ordinal analyses (data from 9 )”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
Alteplase reduced the mRS by a median 1 point in the National Institute of Neurological Disorders and Stroke study of alteplase, analyzed by Mann-Whitney U test or robust ranks test.
“Second, the reduction of death or dependency may be described by the difference in medians, for example, alteplase reduced the mRS by a median 1 point in the National Institute of Neurological Disorders and Stroke study of alteplase (analysis by Mann-Whitney U test or robust ranks test; Table 1). 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
Alteplase reduced the mRS by a mean 0.53 mRS points in the National Institute of Neurological Disorders and Stroke study of alteplase, analyzed by t test.
“When performing a continuous analysis, the reduction of death or dependency may be described by the difference in means, for example, alteplase reduced the mRS by a mean 0.53 mRS points in the National Institute of Neurological Disorders and Stroke study of alteplase (analysis by t test; Table 1). 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
Most (85%) data sets from previous acute trials did not depart significantly from the proportionality assumption.
“Nevertheless, when examining individual data from previous acute trials, most (85%) data sets did not depart significantly from the proportionality assumption. 9”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
STIPAS was neutral with a dichotomous analysis but negative on ordinal analysis.
“(4) Safety study of tirilazad mesylate in patients with acute ischemic stroke (STIPAS; tirilazad for acute ischemic stroke, Phase II trial) was neutral with a dichotomous analysis 10 but negative on ordinal analysis (data from the Optimising Analysis of Stroke Trials [OAST] Collaboration 9 )”
From Statistical Analysis of the Primary Outcome in Acute Stroke Trials (2012) · cites this paper as [9]
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Statistical Analysis of the Primary Outcome in Acute Stroke Trials
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- Authors
- The Optimising Analysis of Stroke Trials (OAST) Collaboration
- Affiliations
- University of Nottingham (GB)
- Corresponding author
- The Optimising Analysis of Stroke Trials (OAST) Collaboration
- Venue
- Stroke
- Published
- 2007-06
- Volume
- 38
- Issue
- 6
- Pages
- 1911-1915
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W1843498179
- Cited by
- 192
- References
- 5
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 6 · 2023: 8 · 2022: 6 · 2021: 12 · 2020: 9 · 2019: 8 · 2018: 9 · 2017: 11 · 2016: 10 · 2015: 5 · 2014: 18 · 2013: 18 · 2012: 9
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Stroke (publishedVersion)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Nottingham ePrints (University of Nottingham) (submittedVersion)
- Nottingham ePrints (University of Nottingham) (submittedVersion, cc-by)
- Leicester Research Archive (University of Leicester) (submittedVersion)
- Funders
- London School of Hygiene and Tropical Medicine
- National Institute of Neurological Disorders and Stroke
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- acute stroke trials, functional outcome, ordinal data analysis, ordinal logistic regression, modified Rankin Scale, Barthel Index, individual patient data, stroke rehabilitation
- MeSH terms
- Stroke Rehabilitation, Humans, Models, Statistical, Randomized Controlled Trials as Topic, Treatment Outcome, Recovery of Function, Stroke
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