PUBH 6420 is also offered in Fall 2024
PUBH 6420 is also offered in Fall 2023
PUBH 6420 is also offered in Summer 2023
PUBH 6420 is also offered in Fall 2022
PUBH 6420 is also offered in Summer 2022
PUBH 6420 is also offered in Fall 2021
PUBH 6420 is also offered in Summer 2021
Summer 2023 | PUBH 6420 Section 320: Introduction to SAS Programming (85827)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 1 Credit
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
Online Course
Pre-Covid
- Times and Locations:
Regular Academic Session
12:00AM - 12:00AM
Off Campus
Virtual Rooms ONLINEONLY
- Enrollment Status:
Open (29 of 60 seats filled)
- Also Offered:
- Course Catalog Description:
- Use of SAS for analysis of biomedical data. Data manipulation/description. Basic statistical analyses (t-tests, chi-square, simple regression).
- Class Notes:
- Requires PC SAS version 9.2 or higher (1 year license available from U of M Office of Information Technology (OIT) -http://www.oit.umn.edu/utools/all-software/index.htm - for $28. Contact Office of Information Technology (OIT) before the start of the class to verify you have the necessary system requirements. For further information, contact instructor at: grand001@umn.edu.
- Class Description:
- This class is an introduction to the use of the SAS programming language for the analysis of biomedical data. After an introduction to the SAS environment on a PC, SAS will be used to write programs for reading and processing data, and for performing descriptive and basic statistical analyses. By the end of the course, students should be able to write SAS programs for data management, presentation, and analyses. - Run SAS programs on a PC . - Read raw input files in various formats and create SAS datasets. - Create new variables from other data. - Use basic SAS procedures to describe data numerically and graphically. - Annotate SAS output with informative titles, labels, and formats. - Work with SAS datasets: sort, subset, merge, and re-format SAS datasets - Use SAS procedures for basic statistical inference: Chi-square tests, T-Tests, ANOVA, Regression, etc. - Export SAS data and output to other computers and software
- Grading:
- 20% Midterm Exam
20% Final Exam
60% Written Homework
- Workload:
- 2 Exam(s)
6 Homework Assignment(s)
- Textbooks:
- https://bookstores.umn.edu/course-lookup/85827/1235
- Instructor Supplied Information Last Updated:
- 30 August 2012
ClassInfo Links - Summer 2023 Public Health Classes