Linear model assumptions - PowerPoint PPT Presentation

BIOL 582

BIOL 582. Lecture Set 15 Model Building Transformations redux “Non-parametric” Methods. It is worth revisiting the concept of “statistical power” Recall statistical power is 1 – β, where β is the probability of a type II error β is not something that can be measured, directly

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Unit 10: Model Assumptions

Unit 10: Model Assumptions. Goals of Unit. Understand 5 assumptions of GLMs Understand consequences of assumption violations Inefficient standard errors (low power, type II errors) Inaccurate standard errors (incorrect statistical tests, type I errors) Inaccurate parameter estimates

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Multiple linEAr regression

Computational Statistics. Multiple linEAr regression. Basic ideas. Predict values that are hard to measure irl, by using co-variables (other properties from the same measurement in a sample population) We will often consider two (or more) variables simultaneously.

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