Stat 430-830 Course Outline Spring 2018.pdf

Clinical research scientific work and engineering

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clinical research, scientific work, and engineering including technology development, new product design and development, process development, and manufacturing process improvement. Applications from various fields will be illustrated. All experiments conducted by scientists, engineers, marketers and now web developers, are designed experiments; some of them are poorly designed, but others are well-designed. A well-designed experiment will allow obtaining reliable and valid results faster, easier, and with fewer resources than with a poorly-designed experiment. Well-designed experiments can lead to reduced development lead time for new processes and products, improved manufacturing process performance, and products that have superior function and reliability. You will learn how to plan, conduct and analyze experiments efficiently in this course.
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STATS 430/830 Lecture Schedule Date Topic Text Reference May 1 & 3 Introduction to analysis of variance (ANOVA); the complete randomized design (CRD), residuals and model adequacy checking; Chapter 3 May 8 & 10 More about ANOVA: non-parametric, sample size. Box-Cox transformations; Review of regression analysis. Chapter 3 Chapter 15.1.1 Chapter 10 May 15 & 17 The randomized complete block design (RCBD) Chapter 4 May 22 Introduction to factorial designs Chapter 5 May 24 Mid Term 1 May 31 2 k factorial designs, introduction Chapter 6 Jun 5 & 7 2 k factorial designs Blocking and confounding in two-level factorial designs Chapter 7 (Sections 7.1 through 7.6) Jun 12 & 14 2 k - p fractional factorial designs, introduction Chapter 8 Jun 19 & 21 2 k - p fractional factorial designs, continuation; Chapter 8 Jun 26 & 28 Random factors in experiments Chapter 13 (Sections 13.1 to 13.6) Jul 03 Mid Term 2 Jul 05 Nested & split-plot designs Chapter 14 Jul 10 & 12 Analysis of covariance (ANCOVA) and Repeated Measurements Chapter 15 Jul 17 & 19 Response surface methods and designs (an overview) Chapter 11 (Sections 11.1 through 11.5) Jul 24 Review
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