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Logistic regression with lasso versus PCA?

Logistic regression with lasso versus PCA?Got asked this question in an interview. I know the main difference is that Lasso is a regularization technique (adding vars to minimize effect of...

Cross Validated Asked by Manas on 2 years ago

Is spurious regression a problem for lasso and similar techniques?

I was toying with R to see how the number of variables might affect spurious regression. Suppose that we have an $I(1)$ vector $y$ and a matrix ...

Cross Validated Asked by badmax on 2 years ago

Dealing with singular fit in mixed models

Let's say we have a model mod <- Y ~ X*Condition + (X*Condition|subject)# Y = logit variable # X = continuous variable # Condition = values A...

Cross Validated Asked by User33268 on 2 years ago

groups, levels and denominator dof in mixed effect models

I am trying very hard (I am not a statistician) to understand the concepts of "groups" and "levels" in mixed effect models. In particular, I am trying to understand this...

Cross Validated Asked on 2 years ago

p-value random effect in glmer() in lme4 package

I know that in order to test whether a random effect has a significant impact on a model it's necessary to sequentially remove one random effect at a time and...

Cross Validated Asked by ribelles on 2 years ago

Question about the structures and conditions of validity of the mixed-effect model

In class we are told to be very careful when using mixed models and to use the simplest models, to avoid talking nonsense. I posted questions previously about this but...

Cross Validated Asked on 2 years ago

Increasing multicollinearity in multilevel/hierarchical modeling?

I have a linear model with response variable $textbf{y}$ and explanatory variable matrix $textbf{X}$ for which coefficients $textbf{b}$ are physically meaningful and worth estimating: begin{equation}textbf{y}...

Cross Validated Asked on 2 years ago

Specifying model in glmer() - interaction terms

I am running a generalised mixed effects model, of family logistic regression, using function glmer(). I am predicting likelihood of response (0/1) and my fixed effects to explore in...

Cross Validated Asked on 2 years ago

lmer or binomial GLMM

I am running a mixed model in R. However I am having some difficulty understanding the type of model I should be running for the data that I have. Let's...

Cross Validated Asked on 2 years ago

Is my design nested or crossed? Question concerning specifying random effects with lmer in R

I've run an experiment where 120 participants (PP) viewed 40 quotes (Item) each (presented in Facebook format) and were asked to rate them on a scale (1 to 7) (Rating...

Cross Validated Asked on 2 years ago

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