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Mandel M, Gauthier SA, Guttmann CR, et al. Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression. J Am Stat Assoc. 2007;102(480):1254-1266doi: 10.1198/016214507000000059.
Mandel, M., Gauthier, S. A., Guttmann, C. R., Weiner, H. L., & Betensky, R. A. (2007). Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression. Journal of the American Statistical Association, 102(480), 1254-1266. https://doi.org/10.1198/016214507000000059
Mandel, Micha, et al. "Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression." Journal of the American Statistical Association vol. 102,480 (2007): 1254-1266. doi: https://doi.org/10.1198/016214507000000059
Mandel M, Gauthier SA, Guttmann CR, Weiner HL, Betensky RA. Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression. J Am Stat Assoc. 2007 Dec;102(480):1254-1266. doi: 10.1198/016214507000000059. PMID: 19081806; PMCID: PMC2600443.
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J Am Stat Assoc. 2007 Dec;102(480):1254-1266. doi: 10.1198/016214507000000059.

Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression.

Journal of the American Statistical Association

Micha Mandel, Susan A Gauthier, Charles R G Guttmann, Howard L Weiner, Rebecca A Betensky

Affiliations

  1. Micha Mandel is a postdoctoral fellow, Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115 ( [email protected] ). Susan A. Gauthier is an Associate Neurologist, Partners Multiple Sclerosis Center, Brigham and Women's Hospital and Instructor of Neurology, Harvard Medical School, Boston, MA 02115. Charles R.G. Guttmann is the Director of the Center for Neurological Imaging at Brigham and Women's Hospital and an Assistant Professor in Radiology at Harvard Medical School, Boston, MA 02115. Howard L. Weiner is the Director of the Partners Multiple Sclerosis Center and a co-director of the Center for Neurological Diseases at the Brigham and Womens Hospital, and the Robert L. Kroc Professor of Neurology, Harvard Medical School, Boston, MA 02115. Rebecca A. Betensky is an associate professor, Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.

PMID: 19081806 PMCID: PMC2600443 DOI: 10.1198/016214507000000059

Abstract

The expanded disability status scale (EDSS) is an ordinal score that measures progression in multiple sclerosis (MS). Progression is defined as reaching EDSS of a certain level (absolute progression) or increasing of one point of EDSS (relative progression). Survival methods for time to progression are not adequate for such data since they do not exploit the EDSS level at the end of follow-up. Instead, we suggest a Markov transitional model applicable for repeated categorical or ordinal data. This approach enables derivation of covariate-specific survival curves, obtained after estimation of the regression coefficients and manipulations of the resulting transition matrix. Large sample theory and resampling methods are employed to derive pointwise confidence intervals, which perform well in simulation. Methods for generating survival curves for time to EDSS of a certain level, time to increase of EDSS of at least one point, and time to two consecutive visits with EDSS greater than three are described explicitly. The regression models described are easily implemented using standard software packages. Survival curves are obtained from the regression results using packages that support simple matrix calculation. We present and demonstrate our method on data collected at the Partners MS center in Boston, MA. We apply our approach to progression defined by time to two consecutive visits with EDSS greater than three, and calculate crude (without covariates) and covariate-specific curves.

References

  1. Stat Med. 1999 Sep 15-30;18(17-18):2191-207 - PubMed
  2. Biometrics. 2005 Dec;61(4):1010-7 - PubMed
  3. Stat Med. 1998 Oct 15;17(19):2265-81 - PubMed
  4. Biometrics. 1994 Mar;50(1):51-60 - PubMed
  5. N Engl J Med. 2000 Nov 16;343(20):1430-8 - PubMed
  6. Brain. 1989 Dec;112 ( Pt 6):1419-28 - PubMed
  7. J Neurol Neurosurg Psychiatry. 2004 May;75(5):706-10 - PubMed
  8. Biometrics. 2002 Jun;58(2):342-51 - PubMed
  9. Arch Neurol. 2006 Apr;63(4):611-4 - PubMed
  10. Brain. 2003 Apr;126(Pt 4):770-82 - PubMed
  11. Autoimmun Rev. 2006 Oct;5(8):532-6 - PubMed
  12. Stat Methods Med Res. 2003 Aug;12(4):321-31 - PubMed
  13. J Neurol. 1994 Oct;241(10):597-604 - PubMed
  14. Stat Med. 1998 Jul 15;17(13):1481-93 - PubMed
  15. Brain. 1999 Oct;122 ( Pt 10):1941-50 - PubMed

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