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Guan-Hua Huang, Ph.D.
Institute of Statistics
National Yang Ming Chiao Tung University
1001 University Road
Hsinchu 30010, TAIWAN

Tel: 03-513-1334
Fax: 03-572-8745
ghuang@nycu.edu.tw
Office: 423 Assembly Building 1

Longitudinal Data Analysis


COURSE SUMMARY

Longitudinal data consist of multiple measures over time on an individual. This type of data occurs extensively in both observational and experimental biomedical studies, as well as in studies in sociology and applied economics. This course will provide an introduction to the principals and methods for the analysis of longitudinal data. While some theoretical statistical detail is given (at the level of appropriate for a Master¡¦s student in Statistics), the primary focus will be on data analysis and interpretation.

The objects of his course are
  • To identify features of longitudinal data and explain the roles of longitudinal data in studying real data phenomenon.
  • To use a generalized linear model to make inferences about the relationship between responses and explanatory variables while accounting for the correlation among repeated responses for an individual.
  • To use marginal, random effects, or transition models for longitudinal data when the repeated observations are binary, count, or Gaussian/non-Gaussian continuous.
  • To familiarize the usage of statistical software implementing these longitudinal data analytic methodologies.
  • To provide references for your future research.

PREREQUISITES

Students are expected to have background on undergraduate probability, and mathematical statistics. Some knowledge on (generalized) linear regression will be helpful.