Syllabus2011

# Syllabus2011 - Course Syllabus PubH 7430 Statistical...

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Course Syllabus PubH 7430 Statistical Methods for Correlated Data Fall 2011 Credits: 3 Meeting Days: Tuesday and Thursday Meeting Time: 9:45 a.m. – 11:15 a.m. Meeting Place: Nils Hasselmo Hall 2-101 Instructor: Julian Wolfson Office Address:Mayo A-453 Office Phone: 612-625-9514 Fax: 612-626-0660 E-mail: julianw@umn.edu Office Hours: TBA I. Course Description Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. In this course, we will study techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. We will focus primarily on the class of generalized linear models (both with and without random effects) for normally and non- normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS. II. Course Prerequisites Statistics: Regression at the level of PubH 6451 (Biostatistics II) or PubH 7405 (Biostatistics Regression) or Stat 5302 (Applied Regression Analysis). Students should be familiar with the basic notions of random variables, statistical inference (confidence intervals, hypothesis testing), multiple linear regression, and logistic regression. Linear Algebra: Some familiarity with basic matrix notation and operations (multiplication, inverse, transpose). We will review this VERY briefly towards the beginning of the course. During the semester, the underlying statistical theory will be outlined using matrix notation, but deep understanding of the theory is not necessary for homeworks or exams. 1

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Computing: Working knowledge of a statistical software package (eg. R, Splus, SAS) at the level of PubH 6420. Other software (eg. Stata or SPSS) can also be used for data analysis but support for these packages cannot be guaranteed from the instructor or teaching assistant. Note: This is a second year course for MS students in Biostatistics or Statistics. However it is meant to be accessible to PhD students in other quantitative fields. There will be a focus on applications, although underlying statistical concepts and theory will be reviewed as necessary. III. Course Goals and Objectives Upon completing this course, students should be able to: Identify situations where correlated data may arise. Describe and summarize correlation in a dataset both graphically and numerically. Apply appropriate statistical estimation techniques to answer scientific questions using correlated data. Understand both the strengths and limitations of these techniques. IV.
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## This note was uploaded on 11/21/2011 for the course PUBH 7430 taught by Professor Prof.eberly during the Fall '04 term at Minnesota.

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Syllabus2011 - Course Syllabus PubH 7430 Statistical...

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