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A Method for Comparing Profiles of Repeated Measurements
Abstract
On propose une methode de comparaison des profils de mesures repetees, basee sur la structure de covariance d'ante-dependance de Gabriel (1961-1962). Cette methode est appropriee pour des experiences dans lesquelles aucun point specifique des profils n'est connu pour etre interessant a priori
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Cited by
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552
Self-citationThe analysis of designed experiments and longitudinal data by using smoothing splines
Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/1467-9876.00154 · Cited by 570
Self-citationPedersen, C., Kyle, J., Jenkinson, A., Gardner, P., McPhail, D., & Duthie, G. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600972 · Cited by 173
Cytokine-induced depression during IFN-α treatment: The role of IL-6 and sleep quality
Prather, A. A., Rabinovitz, M., Pollock, B. G., & Lotrich, F. E. (2009) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2009.07.001 · Cited by 139
Measurement in clinical trials: A neglected issue for statisticians?
Senn, S., & Julious, S. (2009) · Statistics in Medicine · doi:10.1002/sim.3603 · Cited by 136
Metadata
- Authors
- Kenward, M. G.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1987
- Volume
- 36
- Issue
- 3
- Pages
- 296
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W133827248
- Cited by
- 302
- References
- 0
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kenward, M. G. (1987). A Method for Comparing Profiles of Repeated Measurements. Applied Statistics. https://doi.org/10.2307/2347788
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
