Call Number | 15711 |
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Day & Time Location |
W 7:00pm-8:00pm To be announced |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Dan Liao |
Type | LECTURE |
Method of Instruction | On-Line Only |
Course Description | This course will provide students with a thorough introduction to applied regression analysis, which has been a commonly used and almost standard method for analyzing continuous response data in Public Health research. Topics covered include simple linear regression, multiple linear regression, analysis of variance, parameter estimation, hypothesis testing, interpretation of estimates, interaction terms, variable recoding, examination of validity of underlying assumptions, regression diagnostics, model selection, logistic regression analysis, generalized linear models as well as discussions on relationships of variables in research and using regression results for either prediction or estimation purposes. Real data are emphasized and analyzed using SAS. |
Web Site | Vergil |
Department | General Public Health |
Enrollment | 3 students (4 max) as of 8:06PM Monday, December 2, 2024 |
Subject | General Public Health |
Number | P8100 |
Section | D01 |
Division | School of Public Health |
Open To | Public Health |
Section key | 20243GNPH8100PD01 |