Obtaining, randomizing, exposing the confounding & formulating mixed models for designs for comparative experiments using R

• Professora Renata Alcarde Sermarini
• Departamento de Ciências Exatas - ESALQ/USP

1. Be aware that designs for comparative experiments are optimal for a linear mixed model.
2. Know how to describe the factor allocation in an experiment and use it in formulating a mixed model analysis of a response.
3. Able to randomize standard designs in R using the crossing and nesting of factors.
4. Able to perform the eigenanalysis of a wide range of designs in R and to use the resulting anatomy tables to understand and evaluate designs for comparative experiments.
5. Be able to distinguish between confounding and aliasing and understand the role that confounding plays in an experimental design

08:30‒09:30:  Topic I. Concepts in experimental design.
09:30‒10:30:  Practical I. Orthogonal experimental design & analysis in R.
10:30‒11:00:  Refreshment break
11:00‒12:00:  Topic II. Nonorthogonal experimental design & analysis.
12:00‒13:00:  Practical II. Nonorthogonal experimental design & analysis in R.
13:00‒14:30:  Lunch
14:30‒15:30:  Topic III. Miscellaneous topics in experimental design: effect of missing values, recognizing pseudoreplication and nested factorials.
15:30‒16:00:  Refreshment break
16:00‒17:00:  Practical III. Miscellaneous experimental design topics in R.

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Undergraduate Student: R$50.00

Graduate Student: R$100.00

Professional: R$200.00

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Cancellation of registration by sending an email to cancelamento@fealq.com.br. Requests made within 7 (seven) days after the registration will be fully refunded, as outlined by legislation.