Statistical methods appropriate for the analysis of data sets comprising several levels of hierarchy of units of analysis (e.g., students nested in classes nested in schools; observations nested in patients nested in hospitals). If you can refer to more specific models like mixed-model or glmm, ...

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19 views

specification of mixed effects model with two levels of repeated measures (in R)

My colleagues and I conducted a study of the effects of an experimental translocation on the movement and activity patterns of common brushtail possums in New Zealand. This involved first capturing 12 ...
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0answers
31 views

Multivariate Mixed Model With Continuous Independent Variable - SPSS or R?

I've been trying to find an appropriate statistical technique to analyze multiple IVs and DVs with no luck. The IVs include 1 trichotomous within-subjects factor, 1 dichotomous between-subjects ...
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0answers
9 views

Missing block (Multilevel Modelling, repeated measures)

Experiment: participants respond to a moving object. Explanatory variables: velocity of object (fast, slow), Type of object (A,B). There are four different types of blocks, each with 16 trials: ...
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1answer
57 views

How to analyze data once broken down into gender, race, etc

I have two conditions, Treatment A, and Treatment B. Participants are randomly assigned to a treatment at the outset. Then I run unpaired t-tests on the data to find any differences. BUT I am also ...
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0answers
31 views

Post-hoc multi-level design analysis

I am developing a model to predict a dichotomous satisfaction measure on festival event participants. Events can last 1 to n days; and participants are grouped in parties of 1 to k party members who ...
4
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1answer
42 views

Metafor rma.mv function: missing estimates for two levels of a categorical moderator

I am conducting a meta-analysis with several categorical moderators and one continuous moderator; I am also interested in an interaction between two of the moderators (outcome and scale). I have ...
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3answers
41 views

Multilevel modeling for limited dependent variable

I am doing the research, using Multilevel modeling, with limited dependent variable number of days- it is limited downward (0) and upward (30). Is it necesarry to use Multilevel logit model? Or is it ...
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0answers
37 views

Testing for effect of covariate in nonlinear mixed model, T-test or F-test?

I am using package nlme for nonlinear mixed model. I use SSlogis self-starting model( Bates Pinheiro, 2000) for my model. ...
2
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1answer
39 views

Is it correct to use multilevel models when observations are nested by individual?

I know only the basics of multilevel modeling. I'm trying to measure the relationship between one paired set of questions to another set. A simple example, one set of questions might be, "How funny ...
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0answers
22 views

In Stata, how do I test for interaction of categorical variables in multilevel models?

I'm trying to figure out a way to test for interaction between variables in three level model. Using example Stat dataset we can have a dummy model with states nested into regions: ...
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0answers
3 views

Parafac for crossover design studies

.Hi, everybody I have data that has 28 subjects involved in a crossover design study including 4 different treatments. The amount of variables is over 10000 (measured almost on the same scale) In ...
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0answers
9 views

how to specify the order of repeated measure of same subject in multilevel modelling

I am trying to do multilevel modelling for finding the management of diabetes in 100s of patients using R (lmer). Each patient has multiple measurements of blood glucose which is taken in unequal ...
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0answers
79 views

When and why do I have to use “trait” for multinomial multilevel models with MCMCglmm in R?

I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
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3answers
51 views

Whether to use a hierarchical linear model

I've been reading through Gelmans book: Data Analysis Using Regression and Multilevel/Hierarchical Models trying to learn more about how to implement hierarchal models. I have a dataset that I think ...
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votes
1answer
187 views

Estimating Multilevel Logistic Regression Models

The following multilevel logistic model with one explanatory variable at level 1 (individual level) and one explanatory variable at level 2 (group level) : ...
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0answers
17 views

What is the “variance component parameter” in mixed effect model?

On page 12 of Bates' book on mixed effect model, he describes the model as follows: Near the end of the screenshot, he mentions the relative covariance factor $\Lambda_{\theta}$, depending on ...
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0answers
14 views

Mixed models with repeated measures

I am using mixed model for analysing a two level model where level 1 are the occasions (years) and level 2 is team (NBA teams). My IV is at team level and I have no reason for expecting different ...
0
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1answer
26 views

Interactions between levels in lme4

We are implementing multilevel models in lme4 and have a question about how to handle cross-level predictors. This is a psychology experiment where individual participants come into the lab and ...
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0answers
6 views

Analyzing specific factor combinations

Is there any way to isolate specific treatments and test those for differences within an overall multi-factor model? I'm running a multi-way ANOVA. For my particular model, I have factors with ...
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0answers
18 views

Multiple dummy variables and hierarchical models: interpretation of intercept

I have two variables, race and marriage, that I have created dummy coding for. I know that typically the intercept ($\beta_0$) is interpreted as the default level (level 1) for one variable. How do ...
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2answers
28 views

How can I forecast interrelated hierarchies?

I need to model demand for server components. Server 1 & Server 2 both use Hard Drive B, Server 1 uses Network Card A, and Server 2 uses Network Card C. ...
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0answers
23 views

All models (LPM, Logit, HGLM, etc.) yield same results — which to report?

I'm interested in people's opinions here on a modeling choice given this design. We have two years of data from students in a school district. An intervention was introduced in year two. We have a ...
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0answers
10 views

Estimation Procedure of Multilevel Logistic Regression

I know the estimation procedure for Logistic Regression is Iterative Weighted Least Squares Method. In the book ...
0
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1answer
105 views

Multilevel logistic regression : Simulation Study

I have written R codes for simulating data from Multilevel logistic regression model . I focus on the following multilevel logistic model with one explanatory ...
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1answer
42 views

Simulating Data from Multilevel Logistic Regression

I want to simulate data from multilevel logistic regression . I focus on the following multilevel logistic model with one explanatory variable at level 1 (individual level) and one explanatory ...
3
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1answer
30 views

different results from lme and lmer function

I am fitting a random slope and random intercept model using R. I used both lme and lmer funciton for the same model. However I got different results as shown below (different variance component ...
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1answer
27 views

What is the regression test equivalent to a repeated measures (factorial) ANOVA?

As in the title, I'm trying to figure out what would be the regression test equivalent to a repeated measures one- and two-way ANOVAs? So, in the case of having different dichotomous IVs and two ...
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0answers
34 views

pvalues for fixed effect using lme function in R

I am using the lme function from nlme to run a random coefficient model. Please see the output of summary(mod1) below. I need ...
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0answers
10 views

analytically finding the dispersion of beta distribution in multilevel bayesian model

I want to create a multilevel bayesian model of the format depicted in the in figure below. I am examining # of conversions (out of total number of exposures) in multiple subgroups. The conversion ...
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0answers
35 views

Beta Regression for Multilevel / Hierarchical Linear Models in any Statistics Package?

I would like to run a (if possible zero-one-inflated) beta regression in a multilevel model with three layers. So far I have not been able to find any programs or packages that would support such a ...
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1answer
22 views

Notation for multi-level hierarchical model

I'm having a hard time understanding how to write a multi-level hierarchical linear regression model in mathematical language. Suppose, for example, that our independent variable is x, our dependent ...
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0answers
23 views

How does GEE (Generalized Estimating Equation) treat different cluster size?

I have a population of 200, 000+ patients and their hospital visit information. I'm trying to see if having a certain disease would have an effect on whether they will have readmission or not (this is ...
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0answers
16 views

Pooled results missing from GENLINMIXED multilevel analysis of multiple imputation data

I am running a multilevel analysis with the GENLINMIXED command (Analyze>Mixed Models>Generalized Linear Models) on a set of multiple imputation data. The data file was generated by the Multiple ...
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0answers
36 views

Clustered bootstrap for multilevel data with caret train in R

The clustered bootstrap would be appropriate for assessing predictive performance of a model with multilevel data where, for example, students are nested within schools such that there is a non-zero ...
0
votes
1answer
33 views

Difference between a random slope/intercept model and an ANCOVA with an interaction?

I attempted to run an ANCOVA with one binary predictor, one continuous outcome, and one continuous covariate. I found that there was heterogeneity of regression slopes and thus I concluded that an ...
0
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1answer
37 views

The “frog pond” theory [closed]

I have not understood the frog pond theory . The frog pond theory refers to the notion that a specific individual frog may be a ...
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0answers
52 views

can you analytically solve this bayesian hierarchical model - bernoulli trials

Is it possible to analytically solve (i.e., use a conjugate prior) the hierarchical model shown in the image below to obtain the posterior distribution. The data are composed of bernouli trials ...
3
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0answers
72 views

Consequence of violation of independence assumption on estimates of standard errors

from the first chapter , Introduction to Multilevel Analysis , p.5 of the book , it is written that : Standard statistical tests lean heavily on the assumption of independence of the ...
2
votes
1answer
35 views

Problems due to analyzing variables from different levels at one single level

Please ease the following paragraph from the first chapter , Introduction to Multilevel Analysis , p.3 of the book: Historically , multilevel problems have led to analysis approaches that moved ...
3
votes
2answers
58 views

What's an example of a situation in which it makes sense to assume random slopes but a fixed intercept?

I'm referring to multilevel modelling. Field (2013) writes: It’s worth noting that it would be unusual in reality to assume random slopes without also assuming random intercepts, because ...
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0answers
10 views

Do odds ratios have an effect on the variance components (level-2 variance) in multilevel models

I am estimating logistic multilevel models and have a question regarding the variance components (i.e. level-2 variance). I want to report my results as odds ratios and I am wondering if the ...
1
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0answers
40 views

Panel poisson regressions on rates and values far from 0

I am estimating the effect of some treatment on yearly district-level stillbirths and stillbirth rates and births and birthrates in a panel with district and year fixed effects. Stillbirths are ...
6
votes
1answer
84 views

How to respond to reviewers asking for p-values in bayesian multilevel model?

We were asked by a reviewer to provide p-values as to better understand the model estimates in our bayesian multilevel model. The model is a typical model of multiple observations per participant in ...
2
votes
1answer
32 views

When fitting a GLMM, is the predicted value for any success or all successes or what?

I am relatively new to multilevel modeling and have just been given an assignment that uses a generalized linear mixed effects model. The outcome is smoking status (1=yes, 0=no) measured at three ...
0
votes
0answers
14 views

Multi-level linear model over 3 years?

My question has to do with that validity of preforming a multi-level regression where I have multiple years of data for companies in the same industry. Each year where there will be some different ...
0
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0answers
21 views

How to interpret a multilevel model that repeats variables for fixed and random effects (like in MCMhregress)?

I came across a specification of a multilevel model that I'd never seen before. It looks like the R function MCMChregress (see: ...
2
votes
1answer
44 views

Exploring a two-way interaction in multi-level regression, why do I get significant contrasts when the confidence intervals overlap on the graph?

I'm exploring a significant two-way interaction in a multi-level random-effects regression. The graph (below) appears to show the interaction is driven by differences at low X, and that at high X the ...
0
votes
0answers
17 views

HELP: Bayesian Multi-level model with seasonality

I am trying to define a Bayesian Multi-level model which has seasonality in BUGs. I have defined the model (below).I have attached a graphical representation of what im trying to model. eventually ...
1
vote
0answers
20 views

Covariance structure of a 3-level hierarchical model with random slope and intercept

I would like someone to confirm if I am getting correctly the covariance matrix in a 3 level mixed model with random slope and intercept. I have random intercepts at level 2 and 3 and a random slope ...
1
vote
1answer
55 views

Multipliers on Top of Binomial Rate Estimates

I was wondering if anyone has come across a similar question to the following. I have data of the form $s_{x,y}, t_{x,y}$ (successes and trials) for varying groups with $x \in X, y \in Y$. I also ...