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Marginal Model

When Does Repeated Measures ANOVA not work for Repeated Measures Data?

by Karen Grace-Martin  26 Comments

Repeated measures ANOVA is the approach most of us learned in stats classes for repeated measures and longitudinal data. It works very well in certain designs.

But it’s limited in what it can do. Sometimes trying to fit a data set into a repeated measures ANOVA requires too much data gymnastics. [Read more...] about When Does Repeated Measures ANOVA not work for Repeated Measures Data?

Tagged With: crossed random effects, generalized linear mixed model, GLMM, linear mixed model, Marginal Model, Repeated Measures, repeated measures anova, time-varying covariates

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The Repeated and Random Statements in Mixed Models for Repeated Measures

by Karen Grace-Martin  68 Comments

“Because mixed models are more complex and more flexible than the general linear model, the potential for confusion and errors is higher.”

– Hamer & Simpson (2005)

Linear Mixed Models, as implemented in SAS’s Proc Mixed, SPSS Mixed, R’s LMER, and Stata’s xtmixed, are an extension of the general linear model.  They use more sophisticated techniques for estimation of parameters (means, variances, regression coefficients, and standard errors), and as the quotation says, are much more flexible.

Here’s one example of the flexibility of mixed models, and its resulting potential for confusion and error. [Read more…] about The Repeated and Random Statements in Mixed Models for Repeated Measures

Tagged With: Marginal Model, mixed model, Proc Mixed, Random Statement, Repeated Statement, SPSS Mixed

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Approaches to Repeated Measures Data: Repeated Measures ANOVA, Marginal, and Mixed Models

by Karen Grace-Martin  94 Comments

In a recent post, I discussed the differences between repeated measures and longitudinal data, and some of the issues that come up in each one.

I want to expand on that discussion, and discuss the three approaches you can take to analyze repeated measures data.

For a few, very specific designs, you can get the exact same results from all three approaches.  This, I find, has always made it difficult to figure out what each one is doing, and how to apply them to OTHER designs.

For the purposes of discussion here, I’m going to define repeated measures data as repeated measurements of the same outcome variable on the same individual.  The individual is often a person, but could just as easily be a plant, animal, colony, company, etc.  For simplicity, I’ll use “individual.” [Read more…] about Approaches to Repeated Measures Data: Repeated Measures ANOVA, Marginal, and Mixed Models

Tagged With: Marginal Model, mixed model, Population Averaged Model, Repeated Measures

Related Posts

  • Six Differences Between Repeated Measures ANOVA and Linear Mixed Models
  • The Repeated and Random Statements in Mixed Models for Repeated Measures
  • Linear Mixed Models for Missing Data in Pre-Post Studies
  • When Does Repeated Measures ANOVA not work for Repeated Measures Data?

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