{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Syllabus Fall 2011 - Course Syllabus PubH 6470-section 1...

Info icon This preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Course Syllabus PubH 6470-section 1 SAS Procedures & Data Analysis Fall 2011 Credits: 4 Meeting Days and Place: Tu-Th 11:15–12:30, Moos 2-520 Course Website : tinyurl.com/pubh6470 or http://www.biostat.umn.edu/~will/ph6470.html Instructor: William Thomas Office Address: A-467 Mayo Office Phone: 612-625-0651 Fax: 612-626-0660 E-mail: [email protected] Office Hours: Wednesdays 2:30–3:30 I. Course Description PubH 6470 introduces students with a background in statistics to programming, graphics, and data analysis using SAS. The course concentrates on programming using PC-SAS, data editing and reformatting, as well as statistical applications of SAS procedures: general linear models, logistic regression, longitudinal mixed- effects models, and survival data. II. Course Prerequisites A one year course in applied statistics at the level of Pubh 6451, Pubh 7406, Stat 5021 or Stat 5302, or permission of the instructor. III. Course Goals and Objectives To provide students experience and practice using SAS to (i) identify and fix errors and problems in data; (ii) write and debug programs; (iii) make and revise graphics; (iv) manage a statistical analysis project and report their results; and learn to use SAS and internet resources to solve problems and learn new SAS procedures. IV. Methods of Instruction and Work Expectations Lectures, homework assignments, take-home exams. Assignments will be due at the start of the class, and we will immediately discuss the problems and answers so please make a photocopy for reference during class. Late homework will not be accepted. Students may discuss homeworks and final projects with other classmates but you must write your own SAS programs, and your homework and exams must be completed independently. V. Course Text and Readings Students are encouraged to purchase PC-SAS version 9.2 through the University of Minnesota for $75/year. On Reserve at the Biomed Library: The Little SAS Book 4th ed. by Delwiche and Slaughter, 2008, SAS Institute SAS Programming for Researchers and Social Scientists by Phil Spector, Sage Data Analysis Using Regression and Multilevel/Hierarchical Models by Gelman and Hill, 2007, Cambridge Analysis of Clinical Trials Using SAS Dmitrienko, Molenberghs, Chuang-Stein, Offen, 2005, SAS Institute SAS for Mixed Models, 2nd ed. by Littell, Milliken, Stroup, Wolfinger, Schabenburger, 2006, SAS Institute Logistic regression using the SAS system: theory and application by Paul Allison, 2001, Wiley-SAS Categorical Data Analysis Using the SAS System, 2nd ed. by Stokes, Davis, and Koch, 2009, SAS Institute
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Fall 2011 W Thomas T–Th 11:15–12:30, Mayo 2-520 Syllabus for PubH 6470: SAS Procedures and Data Analysis Date Topics September 6
Image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern