ADNI | Active Investigations

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Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator
Principal Investigator's Name:	bai yongxin
Institution:	Renmin university of china
Department:	statistics
Country:
Proposed Analysis:	We propose a new partial functional smoothed quantile regression models for sparse longitudinal data. The method aims at quantile regression with large-scale data in the hight dimension and irregularly spaced longitudinal data with measurement errors.
Additional Investigators