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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31 views

Repeated measures mixed model using lmer in R

I’m hoping to get some guidance in specifying a mixed model using the lme4 package in R. The study is quite straightforward. It’s a repeated measures design with pre/post measurements on the ...
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1answer
20 views

Some Basic things we need to do when we are doing text classification

I am working on a project where I have to do multi-label text classification. I want to understand that whether my approach is correct or I am missing something. I am using R to do it. Clean ...
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0answers
12 views

What analysis do I need to run? [on hold]

I have a predictor with responses from 140 people in group A and 60 in group B. My mediator only uses responses from group ...
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0answers
22 views

How to subset alternatives in nested multinomial logistic regression?

I am trying to predict whether or not captains in a particular groundfish fishery choose to fish on any given day and what variables may influence that decision. Originally I had planned on using ...
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0answers
26 views

Statistics for conditions with different number of levels

I have measured the brain activity in a group of 10 subjects who had to perform a task in real and imagined conditions, the task ...
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1answer
39 views

Sign of coefficient changes when contextual variables are added

I have an interpretation question. I am running binary multilevel models on whether or not households have bank accounts. Apart from relevant economic, social and demographical household level ...
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0answers
103 views

Random forest on multi-level/hierarchical-structured data

I am quite new to machine learning, CART-techniques and the like, and I hope my naivete isn't too obvious. How does Random Forest handle multi-level/hierarchical data structures (for example when ...
1
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1answer
25 views

How to expand sample subset with similar data

I would like to categorize a large sample and make some estimates for each category aka subset. The problem is that some subsets contain very few data points. How do I deal with that? For example: ...
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0answers
11 views

Random effects assumption and testing level 2 predictor variables

I was wondering if someone has any advice about the analysis I’m carrying out, or just give a recommended reference? I’m using a random effects modelling approach to account for clustering of patients ...
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0answers
34 views

Multilevel data with correlation within subjects

I have a dataset with 1206 deputies from two different chambers (1998 and 2002, respectively). In addition, there are 18 parties, and some deputies are in both chambers (the ones who were reelected). ...
2
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0answers
43 views

Multilevel model specification for count data (with overdispersion) in R

I would like to specify a multilevel model including the following variables: DV: count data, i.e. a score value between 0 and 13 (resulting from an additive index) for each individual Individual ...
2
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0answers
42 views

lmer giving worse performance than lm

I am having trouble training a model for nested data about house prices. Lets say my data looks like following: ...
4
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1answer
63 views

Notation for multilevel modeling

The formula one needs to specify for training a multilevel model (using lmer from lme4 R ...
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1answer
60 views

Dummy variables for linear models with multiple levels

I'm currently working with data which has continuous variables and a hierarchical structure attached to it, think of measuring blood pressure, size and weight of different domestic animals (cats, ...
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0answers
12 views

Interpretation of Random Slope in Multilevel models

i got a question regarding random slopes in hierarchical models (multilevel). I fit two models: Model 1: without random slope for covariate x (only random intercept) Model 2: random slope for ...
1
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1answer
21 views

Time varying predictors at higher aggregation levels in multilevel survival analysis

The case: I am trying to estimate event history models (also known as survival models) with time-varying predictors at two different levels of (geographical) aggregation. More precisely, I am using a ...
0
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1answer
21 views

Cross-Level-Interaction without varying slope in Multilevel

Is it useful to include cross-level-interaction in multilevel (hierarchical) models without varying slopes (only varying intercept)? A short example in R: ...
1
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0answers
28 views

lme4 crossed random effects model specification

I am completely new to multilevel modeling. I am doing my first steps using the lme4 package. I have a three way nested data structure (i.e. cities, persons, individual tests). Both the cities and ...
0
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0answers
57 views

power/sample size for a complex set of equations

I run an experiment in which several teams perform several tasks each (not all teams perform all tasks, but in general, I can make sure that enough teams perform any given task, and that each team ...
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0answers
18 views

Analysis of repeated measures and repeated covariate

I would like to analyze data from a cohort study investigating the association between perceived discrimination and mental health outcomes (e.g. psychological distress) in two times (T0 and T1). The ...
1
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0answers
42 views

Absolute effect size and relative effect size in HLM

I am having trouble figuring out what the regression equations for HLM models are with absolute effect size and relative effect size provided in a table. E.g., the outcome variable is reading test ...
0
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0answers
81 views

Fitting a multilevel multivariate model in R with `glmer`

Background I have a large dataset that contains three binary outcomes for individuals belonging to groups. I am interested in jointly modeling these binary outcomes because I have reason to believe ...
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2answers
68 views

Analysing change between two variables measured at 3 points

I have two variables measured concurrently at 3 time points, let's call them wealth (W1, W2, ...
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0answers
22 views

Multilevel regression problem: some level 2 cases are part of more than one level 1 category

I am new to multilevel models and I am basically wondering whether I can use a multilevel model at all, given the structure of my data. I have collected data on membership of lobby groups in ...
1
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0answers
46 views

Factor Scores Level 2 in a Multilevel Model

My question is twofold and concerns weighting in multilevel models and using factor scores as predictors on level 2. Here is my problem: I want to estimate (using the meologit command in Stata 13) a ...
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0answers
44 views

Clustering on three levels: time, group, individual –- how to correctly specify the model in R?

I would like to run a lagged random effects regression. The data is from an experiment in which participants were assigned to groups of five and participated in an interactive game for 20 rounds. ...
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0answers
23 views

Error when using corAR1 and varExp in mutilevel model

I'm using nlme in R to fit a multilevel model for some physiological (skin conductance level) responses while watching a film. I'm specifying the model as: model <- lme(SCL <- variableA * ...
3
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1answer
88 views

Clustering in Cox proportional hazards model MLM vs. sandwich estimator

This question is about a paper I am reviewing, so I cannot give a lot of detail, but I can say it involves patients clustered in hospitals and a Cox proportional hazards model. My instinct for such ...
2
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1answer
156 views

Specifying a multilevel model in MCMCglmm (R), that is heteroskedastic at level one

I am considering MCMCglmm as an alternative to MLwiN. The former package works perfectly fine, but I cannot figure out how to model heteroskedasticity at level one. For instance, if I have the ...
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0answers
13 views

Dynamic linear model and Multilevel models

Can dynamic linear models be seens as special cases of multilevel models/random-coefficient models? If yes, how is the reasonning behind that?
0
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1answer
86 views

Multilevel logistic mixed model

I have a survey over 14 schools. In each school, 9 to 11 students were interviewed for a comparison of two items A and B, which one they prefer. The outcome Y is a binary variable with 1 if a student ...
1
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0answers
82 views

How to estimate ICC (degree of clustering) in hierarchical logistic regression?

I am exploring hierarchical logistic regression, using glmer from the lme4 package. To my understanding, one of the first steps in multilevel modeling is to estimate the degree of clustering of ...
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0answers
51 views

Multicollinearity of Socioeconomic index vs. wealth variables separately?

I am running Cox regressions in a large dataset to determine effects of individual and area characteristics on mortality outcomes. (My model is not a multilevel model, as the initial significant ...
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0answers
18 views

Multilevel model: variance significant, but covariance is not. What to conclude?

I estimate a two-level model, random slopes and random intercepts. The variance of each random term is significant based on Chi-square test, but the covariance (of slopes and intercepts) is not ...
2
votes
1answer
64 views

Multi-Level Model with two scores per level 2 unit - reasonable analysis?

I have an experimental design with attitudes toward one positive and one negative stimulus nested within individuals. I also have a continuous predictor at the person level (a personality construct). ...
2
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0answers
26 views

Small data set and validity of Multilevel Regression results

I want to estimate a hierarchical multilevel regression (two levels). My data set is fairly small: 25 groups and 255 individual observations distributed unequally among groups (group member size ...
0
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1answer
102 views

Multi-level model with varying intercept vs. fixed effect regression

I'm working through Gelman and Hill, Data Analysis and Regression using Multilevel/Hierarchical Models (2007), using the arm package, and trying to relate ...
1
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1answer
139 views

Level-2 predictions with lme4/glmer model

Let's say I've fitted a 2 level model with glmer like this: ...
1
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0answers
18 views

Determining Population Normalcy and Proper Analysis Techniques

Good Day - I am working with a dataset that is not normal (general ledger information). I am attempting to determine the following: Given it is not normal, what is(are) the best method(s) to ...
0
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1answer
51 views

How to combine two data sets (level-1 and level-2 data sets) for multilevel analysis in R

I want to analyze data from TIMSS on mathematics. Data contains two data sets one for student level information (i.e. level-1) and another one for school level information (i.e. level-2). Data sets ...
0
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0answers
34 views

Multilevel exploratory factor analysis

We are creating a scale to measure the 'strength of tie' between two people. We conducted a survey where each person was asked to name a number of other people they know. They were then asked to ...
1
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0answers
179 views

Multiple weights in multilevel models

I am currently working on a random intercept multilevel model using the European Social Survey round 6 dataset. It is a 2-level model with individuals (level 1) nested within countries (level 2). To ...
0
votes
0answers
63 views

Choosing test for longitudinal, repeated measures and clustered data

I'm a researcher within cardiovascular medicine, currently working on a study in endocrinology (diabetes). I have the following challenge, which I have discussed with several statisticians who all ...
3
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0answers
32 views

Method/workflow for analyzing data with changing structure?

I am analyzing data relating to networks that evolve over times (more precisely, a snap shot of the network at every discrete time step). Each node of the network denotes a person who perform some ...
0
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0answers
31 views

Group effects where there is a single group

Suppose I have a table of subjects and measurements as follows subject measurement s1 1 s1 2 s1 3 s1 4 s1 5 s1 6 s1 7 s1 8 s1 9 s1 ...
0
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0answers
27 views

In case of multi-time series data, does the significant linear model gives there is something more?

I have total of 9 time series data. I'm basically using 8 variables as my X and 1 variable as Y. I've tried VAR model today but I don't see ANYTHING. However, when I do linear regression, all of the ...
1
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0answers
53 views

Visualizing/explaining multilevel model (dichotomous IV)

I am using multilevel modeling (xtmixed in Stata) to predict a quasi-continuous level-3 DV using a dichotomous IV (sex). My results are markedly different from what the basic difference between men ...
1
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0answers
63 views

What is my experimental design?

I am very new to mixed/multilevel models. I have an experiment where we measured 2 scale variables (varA and varB) in 2 different groups of subjects (control and treatment) at 4 different time points. ...
0
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0answers
37 views

How to best analyse relationship between individual-level predictor and organisation level outcomes?

I have inherited a dataset with two types of data from an employee opinion survey project spanning multiple organizations. We have responses by individual employees on questions to do with their ...
1
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0answers
61 views

Modeling time in multilevel logistic regression

I conducted an experiment in which participants listened to sentences while looking at pictures about the sentences on a computer screen. Whether at a given time point a participant looked at the left ...