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nested models

Member Training: Elements of Experimental Design

by Karen Grace-Martin 

Whether or not you run experiments, there are elements of experimental design that affect how you need to analyze many types of studies.

The most fundamental of these are replication, randomization, and blocking. These key design elements come up in studies under all sorts of names: trials, replicates, multi-level nesting, repeated measures. Any data set that requires mixed or multilevel models has some of these design elements. [Read more…] about Member Training: Elements of Experimental Design

Tagged With: ANOVA, blocking, Crossed factors, Crossover Design, Latin squares, multilevel model, nested models, Regression, Repeated Measures, replication

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What Are Nested Models?

by Karen Grace-Martin  Leave a Comment

Pretty much all of the common statistical models we use, with the exception of OLS Linear Models, use Maximum Likelihood estimation.

This includes favorites like:

  • All Generalized Linear Models, including logistic, probit, beta, Poisson, negative binomial regression
  • Linear Mixed Models
  • Generalized Linear Mixed Models
  • Parametric Survival Analysis models, like Weibull models
  • Structural Equation Models

That’s a lot of models.

If you’ve ever learned any of these, you’ve heard that some of the statistics that compare model fit in competing models require [Read more…] about What Are Nested Models?

Tagged With: covariance parameters, deviance, fixed effect, likelihood ratio test, linear mixed model, linear model, Model Building, nested models

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