Catalog Entries |
Spring 2022
Apr 19, 2024 |
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| PHP 2690H - Design of Experiments |
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Introduces the basic concepts and types of experimental designs with a focus on their statistical properties. Concepts covered include randomization, replication, blocking, matching, nesting, control of variation, interaction, random and fixed factors, choice of controls, estimation of precision and sample sizes. Types of designs include classical designs such factorial, fractional factorial, split plot, randomized blocks, incomplete blocks, crossover, repeated measures, Latin squares and central composite as well as more recent designs such as platform, adaptive, N-of-1, stepped wedge and dose finding will be covered. Concepts will be developed through examples, emphasizing proper analysis of each design. The class will use a hybrid approach with in-class instruction mixed with in class workshops and student presentations. Students are encouraged to use their own experimental data for a final project. Pre-Requisite: Solid background in statistical inference, regression analysis and statistical programming, preferably R. Familiarity with calculus and matrix algebra assumed.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Public Health Department |
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