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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Nesting in bayesian inference
I am currently trying to develop a model that takes into account different data sets that are not directly comparable.
More specifically, my model needs to describe the amount of a drug in the blood, ...
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Three stage nested design with repeated sampling
My experimental design is similar to that from a classic study of metal alloy hardness.
The classic example:
A researcher designs an experiment to study the hardness of a metal alloy. A three-stage ...
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Modeling a Random Effect nested in another random effect in R using the mgcv Package
I have a dataset consisting of 1000 in-vitro fertilization (IVF) cycles from a total of 700 patients. Each cycle has several variables, including;
the total number of follicles the patient had in ...
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Nested Model building
I am trying to write the model which is like this.Suppose you have a nested design (B nested within A), but the number of levels of B can change, depending on the level of A. In addition, the sample ...
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Pooling data after a nested anova
I have a general question (data can be provided if needed). If I ran a nested anova and there is no significant effect of the nested factor on the model, is it reasonable to remove that variable and ...
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Variance and Covariance Expectations in 2-Level Model with Random slope & intercept
1. Could you provide an example of how to hypothesize the variance and covariance expectations for a multi-level model with random slopes and random intercepts?
I do not yet have access to my data, so ...
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Nested Fixed Effects
I have been reading up on nesting in Linear Mixed Effects modelling, and typically nesting is for random effects. However, if I want to estimate the effects of language and type of word for each ...
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How to fit a nested glm model using deviance for selectio?
I have weight as response variable which is continuous variable. And 3 explanatory variables viz; Parity(Count), Age(continuous) and Sex(Factor).
I want to fit a glm model using deviances analysis to ...
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Nested Linear Mixed Effects Model for Region-of-Interest to Region-of-Interest (ROI-to-ROI) Analysis
I am trying to examine the effects of language (English/Mother Tongue) on functional connectivity between different regions of interest (ROI). Hence, I employed a nested Linear Mixed Effects Model ...
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Post-hoc test for comparing nested linear models in R
I'm taking a stats class, and we're working in R and doing a bunch of different types of regression. Where I'm having issues is that we're doing an F-test on nested models (or a partial F-test, I ...
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Partially nested ANOVA
I have a data set that I would describe as unbalanced or partially nested and I am unclear about how to proceed. My data is nested as follows. The number of samples I have is listed in parentheses.
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Whats the model of this experiment
$36$ blood samples are collected at random from a blood bank and $6$ samples are sent to $6$ laboratories for studies. The assignment of each sample to each laboratory is random.
A friend of mine told ...
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Comparing nested simple and multiple regression models
I have a question regarding the intepretation of results from two regression models, these are based on the CAPM and APT (Arbitrage Price Theory)
The models are presented in the picture below:
Where E(...
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Multilevel regression question: can you use level 2 variable as a predictor variable?
I was just reading a paper in the field of education and there was a part I couldn't comprehend.
The author did a multilevel regression analysis with the data which was nested in a school level.
So ...
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Do I need a nested random effect if I do not care about decomposing variance within clusters?
Consider I have a linear mixed effect model fitted via the R package lme4 with a nested random effect structure as:
model<-lmer(y~x+(1|A/B/C))
If I look at the ...
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Nested/Crossed model specification
Experimental setup:
samples are taken by two different operators
each operator takes samples over the course of two days
These days aren't necessarily the same day across operators
On a given day, ...
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Title: Three questions about adding predictors to the highest level of a cross classified model
I’m working with a dataset that has a very complicated nesting structure. Unfortunately, because it is privacy sensitive I cannot provide a reproducible example so I will do my best to explain the ...
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Crossed effects without all combinations
There are a number of posts on Cross Validated explaining the difference between nested and crossed random-effects. In this example, it is noted that all feasible random effects categories are linked ...
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Nested ANOVA in Python and singular matrices
TL;DR: Models with nested categorical factors in Statsmodels lead to singular matrices and incorrect results.
I am trying to specify a nested model in the Python Statsmodels formula API to describe ...
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Is it possible to get a stable hyperparameter with unstable generalization error from a nested CV?
I have created the following pipeline:
...
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Multilevel model won't run in RStudio [duplicate]
I have a repeated measures dataset with provider-level data (i.e., provider's responds to questionnaires on a scale) and patient outcomes. The providers are nested within clinics and the clinics are ...
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Statistical comparison of clustered variables
I have a data set consisting of 50 measurements of cytokine concentrations in 70 patients, resulting in a (70, 50) data frame. In addition, I have a data set containing covariables related to the ...
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AIC for nested models: is the AIC of a smaller model A always smaller than that of the nesting model B?
Is it true that if models A and B are such that the covariates of B are a subset of A, the AIC of model A is always smaller than that of model B? Why?
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Testing a Null Hypothesis Nested by the Alternative Hypothesis
Consider a parameter of interest $\beta \in \mathcal{B}$, and two hypotheses
$$H_0:\;\beta\in\mathcal{B_0}\quad versus \quad H_1:\;\beta\in\mathcal{B}_1$$
where $\mathcal{B}_0\cup\mathcal{B_1}=\...
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cannot reproduce the example for nested anova
I'm working on the example for nested ANOVA from the Handbook of Biological Statistics. Copy-pasteable data can be found at https://www.biostathandbook.com/nestedanova.html and below shows my ...
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How to choose number of sites and number sub-sites within each site in planning stage of a study? (ecology)
I have a situation in which I am going to perform a study on live blue mussels. The research question is how the prevalence of mussels affects the prevalence of other animals living on the sea floor.
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Confused about the correct model specification given the study design (fully-crossed factors with nested repeated measures)
THE ISSUE
Apologies in advance, being primarily a biologist and only tangentially a statistician I hesitate to ask this question for fear of overly complicating a simple situation. That said, I have ...
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Difference between nested anova coded with "/" and linear mixed model with nested random factors
I'm trying to analyze data where site is nested within habitat which is then nested within region. Site is a random variable, but habitat should technically be fixed based on how the study was ...
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Does there always exist for n small, a non-chi-squared test-statistic for the likelihood-ratio (neyman-pearson, karlin-rubin), score, and wald-tests?
An additional reason that the chi-squared distribution is widely used is that it turns up as the large sample distribution of generalized likelihood ratio tests (LRT).[6] LRTs have several desirable ...
user318514
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Can log-likelihood test be applied to test two models which are not nested but nested within a full model?
If we have a response variable y and three predictor variables x1, x2, and x3 and M1 and M2 are nested within M3 where
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how to compare the AUCs of ROC from nested models and non-nested models from published papers
I'm interested in comparing two AUCs from ROC in two nested models and two AUCs in non-nested models but using the same dataset in a paper. I know DeLong test can be used to compare them, but the ...
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Is ARIMA-GARCH nested within ARIMA?
I wanted to compare ARIMA(1,1,1)-GARCH(1,1) and ARIMA(1,1,1) model forecasts with a Diebold-Mariano test, but I know that it cannot be used for nested models. Is ARIMA-GARCH technically nested within ...
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How to determine if a model is nested?
I have two models for prospect theory utility functions and want to compare their fits. However, I'm not sure if the models are nested or not. The first model is given by:
$U(x) = x^α$ for $x ≥ 0$ ...
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Non-orthogonal Nested ANOVA
I am running a nested statistical analysis of variance on a field study I preformed. Unfortunately due to the conditions of the field it is non-orthogonal nested design where the number of sub-factors ...
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Strange residuals vs. fitted values plot for linear mixed model / hierarchical model
I have read a couple of related questions and their answers, but nothing really fits to my specific case.
I have a model like this:
...
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Hierarchical mixed-effects models notation
I have a hierarchical mixed-effects model where observations i, from group S_2 (representing municipalities), are nested inside group S_1 (representing states), which in turn are nested inside N (...
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Determine feature importance of nested regression model
For remote sensing purposes, I'm trying to combine data from two different satellites. To do so, one of the two has a much higher weight than the other, but this is area specific. My goal is to use a ...
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How I can compare three models (nested) using lavaan with R?
I want to test a new model, and for doing this, as I only have cross sectional data, I need to compare different models. My model is like this:
...
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How to choose the right analysis for a partially nested design?
I am not even sure if it is appropriate to call this scenario a partially nested design, but I settled for it for lack of a better term.
My design is similar to the following in terms of its overall ...
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How to implement nested logit model if the choice set for each individual is dynamic changing
I think this question is similar to Discrete choice model with different choice set for each sample, but that question does not have an answer. I have a dataframe in which individuals have dynamic ...
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How to represented nested model with a varying slope?
I have a study wherein we enrolled about 40 subjects and from each subject we have collected repeated images of burns on subject's body. Approx. 2 burn locations on the body are selected initially and ...
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How to correctly do a nested test (t-test, rank-sum, etc)
Let's say there are two groups of participants. Each group is randomly split into control subgroup A and task subgroup B. For each of the 4 cases some random variable $x$ is measured, whose mean is ...
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Nested repeated measures linear mixed-effects model without time as a variable
I want to build a linear repeated measures mixed-effects model in R. I have a sample N=105 that completed measures at two timepoints (baseline and follow-up), and small group (N= 29) that received an ...
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Estimating the mean and variance for a set of probabilities (bounded by 0 and 1) based on Image Segmentation results
Data
My data is from a set of images wherein I am computing the Sensitivity of an image segmentation algorithm. Sensitivity is computed as:
$$Sensitivity=\frac{TP_{pixels}}{TP_{pixels}+FN_{pixels}}$$
...
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Comparison between Nested and Non-nested Model: BIC and LRT
I would like to select the best model for predicting breast cancer risk, specifically, it is the comparisons between weight/BMI/height, as other covariates remain the same in all the models. But I got ...
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Is computing the average of a ratio the correct approach, and how to do it with nested data?
In general, is computing the average of a ratio appropriate?
And secondly, is the nested model below appropriate for doing this?
Here is a data set created from the Iris data that resembles my ...
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Should I use Friedman test or Mixed Model for my data in R? Nested or not?
I have my Response variable which is Proportion of Range Exposed to extreme events for terrestrial mammal species in the future. More clearly, it is the Difference of Proportion of Range Exposed (DPRE)...
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Added variable non-significant but model fit better?
I ran two nested models: Model 1 without an interaction term, and model 2 with the interaction term. The interaction term turned out to be non-significant in model 2, but the model fit index (wald ...
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What is the appropriate random effect model and R-code for following data and question?
I attached a data here called image_study. The “image_study.csv” dataset contains data from a study examining the speed of classification of two different types of image: artworks, and natural images.
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