Detailed Course Information |
Spring 2018
Oct 22, 2025 |
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| Select the desired Level or Schedule Type to find available classes for the course. |
| PHP 2514 - Applied Generalized Linear Models |
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This course provides a survey of generalized linear models (GLMs) for outcomes including continuous, binary, count, survival and correlated data. This course will work through the basic theories of GLMs. Emphasis will be on understanding the implications of this theory and the applications to solving real data problems. Extensive use of computer programming will be required to analyze the data in this class. This course is designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands on toolkit as well as understanding of the theoretical underpinnings of regression.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Public Health Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Undergraduate level APMA 1650 Minimum Grade of S or Graduate level PHP 2515 Minimum Grade of S |
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