Spring 2017



Picture taken from Vock et al (2012) Biostatistics

Instructor

Michele Guindani
Associate Professor
Department of Statistics
Email: michele.guindani@uci.edu
Website: http://www.micheleguindani.info
Phone: (949) 824-5968
Office Hours: M 4:00pm-5:30pm @ Bren Hall 2241

Time and Days

Lectures:
MW 2:00-3:20 DBH 1423
Discussion:
Tue 1:00- 1:50p DBH 1423

Reader

Michelle Nuno
Email: mnuno2@uci.edu
Email with questions on homework grading

Syllabus
CANVAS WEB SPACE
COURSE DESCRIPTION:

Introduction to statistical methods for analyzing longitudinal data from experiments and cohort studies. The course is divided into two sections: correlated data analysis and survival analysis. Topics include correlation structures, mixed effects models, generalized linear mixed effects models, generalized estimating equations, the Kaplan-Meier estimator, Cox models, and parametric failure models. This is an applied course with emphasis on choosing appropriate models and data analysis, with limited mathematical derivations of statistical estimators. Statistics Masters students and students minoring in Statistics or with an interest in mathematical statistics should read additional theoretical materials posted on the course web site, though these materials will not be covered on the exams.

Prerequisites
  • Statistics 202 (Statistical Methods for Data Analysis II) or equivalent.
  • Familiarity with some calculus and matrix algebra.

OBJECTIVES:

Learn how to conduct basic analyses of longitudinal data from experiments and cohort studies. Learn how to conduct basic analyses of time to event data in survival analyses. Ability to use R and common packages to conduct such analyses.

TEXTBOOK:

Fitzmaurice, Laird & Ware (2011) Applied Longitudinal Analysis, 2nd ed.

Collett (2014) Survival Data in Medical Research, 3rd edition

Other references will be provided throughout the class.