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- Jonathan Schildcrout, PhD, Associate Professor of Biostatistics
- jonathan.schildcrout@vanderbilt.edu
- 11117: 2525 West End Ave Building
- 615-343-5432

- Allison Hainline

- Lectures: Tuesday and Thursday 9:00-10:30, Small Classroom, 11th floor, 2525 WEA
- Lab: Friday 9:00-10:00, Small Classroom, 11th floor, 2525 WEA
- Office hours:
- Jonathan: 10:30am-11:30pm Thursdays and by appointment.
- Allison: 3:30-4:30pm Wednesdays.

- Required
- Diggle PJ, Heagerty P, Liang K-Y, Zeger SL.
*Analysis of Longitudinal Data*, 2nd Edition. Oxford University Press, 2002.

- Diggle PJ, Heagerty P, Liang K-Y, Zeger SL.
- Recommended
- Verbeke G, Molenberghs G.
*Linear Mixed Models for Longitudinal Data*. Springer Series in Statistics, 20. - Molenberghs G, Verbeke G.
*Models for Discrete Longitudinal Data*. Springer Series in Statistics, 2010.

- Verbeke G, Molenberghs G.

- Understand the theoretical framework for longitudinal data analysis
- Understand statistical properties of longitudinal data analysis methods (e.g., GLMs, mixed effects models, and estimating equations estimators)
- Be able to apply appropriate techniques for inferences in GLM and longitudinal data settings, examine the validity of the approach, and be able to interpret the results.
- Be reasonably familiar with current research topics in longitudinal data methodology and applications.

- Introductory topics in longitudinal data analysis (LDA)
- Linear mixed-effects models
- Marginal models and estimating equation
- Generalized linear mixed-effects models
- Advanced LDA topics

- Homework needs to be turned in beginning of class on the due date. Often, we will discuss the homework during the Friday discussion section, so it might be helpful to photocopy your homework so you can refer to it.
- Students are encouraged to work together on homework problems, but they must turn in their own write-ups.
- You will often need a laptop for the discussion section on Fridays, but you should not bring them on lecture days

- Homework: 20%
- In class Midterm Exam: 35%
- Take-home Final Exam: 40%
- Class participation: 5%

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Topic revision: r29 - 03 Feb 2017, JonathanSchildcrout

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