Questions tagged [nested-models]
One model is "nested" in another if it is a constrained version of it. Nested models can be compared with a likelihood-ratio test. Use this tag for questions about comparing non-nested models too.
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Does my observational study present as being a nested or crossed design?
I need some help deciding whether my sample collection design qualifies as nested or crossed. The design is: I collect data once per site (at the same 47 sites), once per season (wet and dry; May-Nov ...
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Nested variable in regression model where factor has multiple levels
I have a situation where I have a factor variable $F$ and a continues variable say $X$. The factor variable takes on three levels, say ('x', 'y', 'z'), and $X$ is only defined if the value is $x$ or $...
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Should I use mixed effects model?
I have a sample of real sales data about plant-based products. These data are collected across a monthly period from 2019 to 2023. So I have some labels for this like "1-2019", "2-2019&...
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Interpreting results with a cox test
I am trying to compare 2 non nested models using coxtest from lmtest library. Lamentably I can not find some explanation about the results from this test.
My first ...
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Bread freshness in bread basket, Multi-Level Analysis in R; 2 time points [closed]
This is my first attempt with multi-level analysis.
My research question is;
How does the freshness of different types of bread (6 level) within a bread basket, change over two time points (ranging 4-...
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LR statistics add up for nested models. What about the Wald test?
Consider models M0, M1, M2.
Let M0 $\subset$ M1 $\subset$ M2, i.e. let the models nest each other.
I test the following pairs of models using the likelihood-ratio (LR) test: M0 vs. M2, M0 vs. M1, M1 ...
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Unpaarametered Mediation paths SEM with same degree of freedom comparison
I am modelling multilevel mediation paths for my data. The idea is that a1,a2,b1, b2, c1, c2,d1,d2 all contribute to outcome variable y, and b-level, c-level, and d-level variables also affect y ...
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How to compare 2 multiply imputed nested Cox proportional hazards models?
I've got 2 nested Cox models, which I fit to 10 imputed datasets. Pooling the regression coefficient estimates and associated p-values I've done already.
I'm trying to work out if adding one extra ...
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Factors in a multi-factor design
I have trouble distinguishing between a factor and a replicate. For instance, in my class notes, there is a question:
To study the variability in CO2 emission rate by global regions 4 countries: US, ...
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Does performing Likelihood Ratio Test to compare two nested LASSO models make statistical sense?
From what I've studied, the LRT is used to compare two nested models, i.e. 2 models having different sets of nested features, in my case e.g.
Model1: binary_outcome ~ X1 + X2
Model2: binary_outcome ~ ...
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Multilevel Modeling and Alternatives for Repeated Measures Design
I am conducting a study on the effect of different characteristics of urban space on human physiological response. The study is a "repeated measures" design. For this example, each of 5 ...
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How to model nested data with repeated measures
My data is like this: I have N students from different courses (variable course_id) that where asked about household income (...
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Nonparametric MANOVA with nested problem
I would like to find out if my dependent variable Y which is a measure of the similarity of two shapes to each other and has no normal distribution, is dependent on factors A, B and C. To do this, 4 ...
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Unusually High Variance in a Nested Model
I have a dataset containing lizard home range estimates and several environmental variables. My end goal is to create a model that uses the best combination of environmental variables to predict home ...
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Variance partitioning with crossed and nested factors: A simulation study
I'm working on a variance partitioning study, where I've simulated a dataset with crossed and nested factors. I have three predictor variables and one response variable. The first predictor is crossed ...
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