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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28 views
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Model relation between two rank variables where ranks are nested within subjects in one variable

I have elicited 10 attributes from $N$ subjects. Each subject rank ordered his own 10 attributes from the most to the least important one. I am interested in the relation between the order of ...
1
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0answers
24 views

Best approach for this non-supervised clustering problem?

I'm a software engineer new to Machine Learning. I've read about basic non-supervised techniques like k-means and hierarchical clustering and now I'm trying to put them into practice with a basic ...
0
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0answers
4 views

How can I use RLRsim to get for the results of a fitme() model (from the spaMM package)? [migrated]

I've found that the spaMM package fits my generalized linear models where others (e.g., lme4, glmmADMB) don't. Because my data is very uncooperative. I really need some kind of confidence intervals or ...
3
votes
0answers
27 views

Multilevel meta-analysis with non-independent effect sizes: correct model?

I'm conducting a meta-analysis on standardised mean difference scores. Some studies provide multiple effect sizes, thereby violating the assumption of independence. An example is given below (all ...
0
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1answer
17 views

Can I use information about the distribution of the dependent to improve prediction?

I'm trying to make predictions about a quantity on a per-subject basis. If I aggregate my complete sample I can get very good fit for distributions like gamma or Weibull, so I can make some ...
0
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0answers
13 views

fixed effect approach for multilevel data

I am doing a multilevel analysis with the first wave of ESS survey (2002). First, I ran a multilevel analysis (for both my two research focus). After that, I have to run a fixed effects model to check ...
0
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0answers
5 views

Test for ordinal repeat measure data with multi level response categories

I want to find the relationship between parameter setting of medical images and the visibility of the organs in images. I also want to see if the organ visibility in the test images are significantly ...
2
votes
0answers
21 views

Metafor Forest Plot with Subgroups

I'm trying to draw a forest plot after a multi-level meta-analysis that adds diamonds (polygons) for each of my subgroups (different intervention types). I have followed this code: http://www.metafor-...
0
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0answers
10 views

I have a dataset with binary outcome and correlated observations, is it propriety to use GEE?

My observations are clustered and within each cluster the are two types of correlation. Each cluster may undergo one or two or at the most three rounds. So here is the first type (type of correlation ...
0
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1answer
19 views

Multi-level analysis in SPSS?

I am struggling to work out how best to analyse a large set of data in repeated measures design. I have 4 main conditions: a, b, c, d. Then within each condition, participants repeat a trial 2 times ...
0
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0answers
11 views

multilevel analysis or GEE?

Binary outcome Observations are not completely independent They are clustered Number of observations within each cluster may vary Two kind of relationships within each cluster Each cluster may undergo ...
2
votes
1answer
65 views

Add extra level to multilevel model that was not part of the sampling process

Consider a population of students, clustered within schools. We are interested on explaining results of a math test at the student level. Assume we use a multistage sampling process in order to ...
0
votes
1answer
23 views

Multilevel alternative to Paired t-test

I have a problem where we have N patients, and we measure some property of tumoral lesions for each patient, where the number of lesions varies on each patient (patient A could have 1 lesion, and ...
0
votes
0answers
28 views

Multilevel interpretation mean centered

I have a two-level mixed model. I centered one predictor on the second level (school) with the mean of the variable on the second level. The second level mean of this variable is 20.22. It is ...
1
vote
0answers
15 views

Multilevel Binary Logistic Instrumental Variables Regression

Context I have hierarchical data where individuals ($i$) are nested in groups ($j$) and am interested in examining the degree to which a continuous group-level variable ($X_j$) moderates the effect ...
0
votes
0answers
18 views

Multilevel nominal variables in regression

Can I use multi-value nominal variables as random coefficients in a multilevel regression model with an intercept included? For example: ...
1
vote
0answers
100 views

Combining Fixed Effects and Random Effects Confidence Intervals, Is this Possible?

I estimated a random slope,random intercept model and have estimates of the fixed-effects $\beta_i$ and the random effects $b_i$. I also have their associated standard errors $SE_{\beta_i}$ and $SE_{...
0
votes
0answers
16 views

How to model variability within timepoints when DV is a proportion per timepoint

(Edited question) I am looking at some quality improvement (clinical) data.... I have a dichotomous outcome over time - subjects either experienced or did not experience the event in question. I have ...
2
votes
0answers
28 views

Which is the dimension (or units) of the predicted random effects?

Consider a simple panel data (or multilevel model) with random effects. Say the dependent variable $y_{ij}$ is measured in output per year. The regression to be estimated is: $$y_{ij}= X_{ij}\beta + \...
0
votes
0answers
8 views

Multilevel mediation with dichotomous outcomes but continuous mediator

I want to do a mediation analysis in R on multilevel data where the treatment and mediator are group-level variables while the outcome is recorded at the individual level. The documentation ...
15
votes
3answers
302 views

How to deal with hierarchical / nested data in machine learning

I'll explain my problem with an example. Suppose you want to predict the income of an individual given some attributes: {Age, Gender, Country, Region, City}. You have a training dataset like so <...
3
votes
0answers
19 views

Hawthorne effect in clinical research, definition and advice for non-parallel designs

Hawthorne effect is simply described as a bias in performance as a consequence of being under observation. Its namesake was a study of workers, where researchers specifically noted a positive ...
0
votes
0answers
6 views

Combine various regression equations of different datasets into One universal regression equation

I am trying to build a regression equation for stocks using various inputs like earnings, price movement, etc. The problem is I will get 100 equations if I try to do it for 100 stocks. How can I ...
0
votes
1answer
18 views

2 categorical IV and 1 ordinal DV — what test to use?

I'm a complete newbie when it comes to statistics, and I'm struggling to decide on the design for a statistics test, so I was wondering if someone might be willing and able to help me out please? ...
0
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0answers
25 views

Identifying statistically significant categorical variables with rma.mv

I'm running a meta-regression/multi-level analysis that contains only categorical variables. The printout of the data is as follows: res.fe ...
1
vote
1answer
38 views

Three-level mixed effects model with crossed effects in Stata [closed]

I have a dataset of individuals that includes their wage and occupations for several years. The data is in panel (long) format (xtset id year, yearly). I want to ...
3
votes
1answer
38 views

Model selection/multi-level model with metafor package

I'm attempting to conduct both a model selection and multilevel model analysis with the metafor package. Unfortunately, the data I am working with does not have any control group, only a response rate(...
3
votes
0answers
41 views

Correlated random slopes and intercepts but non-significant random slopes. Can you have one without the other?

I am running a multilevel model. When I compare the random slope without a correlation (Model 2) model to the just random intercept model (Model 1) it is not significant (via likelihood-ratio test). ...
1
vote
1answer
24 views

Statistical significance changing in hierarchical regression?

What does it mean if, performing hierarchical linear regression, significance of a variable changes? So, in one step, statistical significance of a variable is 0.006, but in the next one (after adding ...
1
vote
1answer
55 views

Is hierarchical regression appropriate for running a regression using multilevel dependent variable?

I have a paper submitted to a journal and one of the reviewers suggested me to conduct a hierarchical logistic regression. I know how to conduct multilevel regression analysis by clustering the data ...
1
vote
1answer
48 views

Repeated measures but not longitudinal: A case of multivariate LMM or repeated measures LMM?

I am trying to get my head around the question of what kind of model is most appropriate for the following data: Every participant rated 14 written statements in terms of various aspects (e.g. ...
0
votes
0answers
50 views

multilevel model with categorical outcome in R?

I am examining social interaction data in individuals within two groups. Each social encounter has been coded to one of 4 categories, and these encounters are nested within individual, whom are nested ...
0
votes
0answers
30 views

Investigating main effect after controlling for guessing

I'm doing a multilevel logistic regression with the dependent variable being word learning scores (Score). There are two independent variables: Condition (Experimental / Control) and WordType (Cognate ...
7
votes
0answers
127 views

Writing out the mathematical equation for a multilevel mixed effects model

The CV Question I'm trying to give (a) detailed and concise mathematical representation(s) of a mixed effects model. I am using the lme4 package in R. What is the ...
0
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0answers
8 views

Can I use hierarchical logistic regression for a dependent variable composed of multiple levels

My dependent variable is disclosure of a company. It is measured using an index that is composed of 50 questions scored "0" or "1" and three sub-indices (financial disclosure, social and environmental ...
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0answers
12 views

What's the most appropriate way to derive and validate a model with hierarchical data

I am working on a model to predict the risk of some outcomes and could really use some advise: Let's say we have x number of patients, each patient have anywhere between 0 and y number of visits (...
0
votes
0answers
18 views

Modeling times-to-event when units may be nested within units

I have a modeling problem and would be grateful if anyone has ideas on its solution. The dataset I am using consists of time-to-event observations for organizational units within government ...
1
vote
1answer
31 views

Multilevel modeling sample size

I have a question regarding multilevel modeling. I am building a 3-level model: 1st level yearly observations (variables which vary between years), 2nd level variables on company level, which do not ...
3
votes
0answers
12 views

Analysis techiques for logical topologies

I'm working in the area of analysis of logical computer systems (e.g https://goo.gl/images/KyLCCo). Specifically in the field of anomaly detection of these systems. I was thinking about the field of ...
1
vote
0answers
50 views

Multiple membership model random effects specification

We are looking at tournament performance of chess players over time and have a question about the random effects modeling for this. Specifically, every chess player belongs to at least one club, but ...
0
votes
0answers
16 views

Calculating error on subject-level predictions in repeated measure study

Introduction Suppose I observe 30 subjects attempt a given task in 3 separate occasions and I give them a score. To analyse each subject's performance over time, I can use a multilevel / mixed effect ...
0
votes
0answers
20 views

Multi-level analysis: Concordance between two measures over time: Smaller b equals greater concordance?

I have a rather conceptual question. I am investigating concordance between two response levels, namely mental and genital sexual arousal, in women. We are interested in estimating the degree of ...
0
votes
1answer
37 views

Interpreting group-level random effects of a multilevel model

I'm working with three level models in Stata. Example of one would be: ...
0
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0answers
10 views

Multilevel Analysis predicting level-1 outcomes with only level-2 factors, no level-1 factors

I am working on an analysis where I have 92 independent observations of TRAVEL, but (due to confidentiality constraints) the contextual variables have been aggregated to 18 clusters of 5 or 6 ...
2
votes
0answers
62 views

What can a Multilevel Model do that Linear Regression can't?

In short: I wonder when I would ever want to use a multilevel model as opposed to a linear regression with appropriate structure. In detail: When I look at Wikipedia, I understand that multilevel ...
3
votes
0answers
73 views

Hierarchical linear modeling of Brinley plot data

My question pertains to using hierarchical linear modeling / mixed modeling using lme4 in R on Brinley plot data. I have experience with R, but no experience with HLM, and limited experience with lme4....
0
votes
0answers
11 views

Analytic Hierarchy Process (AHP) - factor weight score

As title mentioned, how to determine the 'scale of relative importance' point for factor weight score? Besides, I have read some example of ahp saying there are 1-9 point, 1-5 point (1,2,3,4,5) and ...
0
votes
0answers
19 views

Fitting a cross-classified variance components model with three response variables in nlme

I am attempting to fit a multivariate variance components model with repeated measures on three response variables. I am using the lme function in the nlme package in R and have run into some ...
0
votes
0answers
22 views

Multilevel modelling in JAGS: Unable to resolve node

I am building a multilevel model, where the time is on the first level and countries are on the second level, in JAGS (JAGS version 3.4.0). I want to build varying-slope-varying-intercept model, like ...
1
vote
0answers
34 views

Which meta-analytic method should I apply to my data set?

My dataset I have a dataset where Effect sizes are nested in Testing occasions, which are nested in ...