| Autor: |
Winkens B; Department of Methodology and Statistics, University of Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands. bjorn.winkens@stat.unimaas.nl, van Breukelen GJ, Schouten HJ, Berger MP |
| Jazyk: |
angličtina |
| Zdroj: |
Contemporary clinical trials [Contemp Clin Trials] 2007 Nov; Vol. 28 (6), pp. 713-9. Date of Electronic Publication: 2007 Apr 21. |
| DOI: |
10.1016/j.cct.2007.04.002 |
| Abstrakt: |
Repeated measures (RM) and ANCOVA models are compared with respect to treatment effect estimation in randomized clinical trials with a pre- and a post-treatment measure. The covariance matrices of repeated measures are assumed to be I) homogeneous or II) heterogeneous across groups. In situation I, ANCOVA is preferred to RM, because the estimated variance of the treatment effect estimator is unbiased for ANCOVA and biased downwards for RM. In situation II, RM with Kenward and Roger's adjustment is preferred to ANCOVA, because the ANCOVA variance estimator does not correct for unknown pre-treatment expectation. The results are illustrated with an example. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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