Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data

@inproceedings{Abner2012MildCI,
  title={Mild Cognitive Impairment: Statistical Models of Transition Using Longitudinal Clinical Data},
  author={Erin Lynn Abner and Richard J. Kryscio and Gregory E. Cooper and David W Fardo and Gregory A. Jicha and Marta S. Mendiondo and Peter T. Nelson and Charles D. Smith and Linda J. Van Eldik and Lijie Wan and Frederick A. Schmitt},
  booktitle={International journal of Alzheimer's disease},
  year={2012}
}
Mild cognitive impairment (MCI) refers to the clinical state between normal cognition and probable Alzheimer's disease (AD), but persons diagnosed with MCI may progress to non-AD forms of dementia, remain MCI until death, or recover to normal cognition. Risk factors for these various clinical changes, which we term "transitions," may provide targets for therapeutic interventions. Therefore, it is useful to develop new approaches to assess risk factors for these transitions. Markov models have… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 49 references

Similar Papers

Loading similar papers…