All Questions
1,273 questions with no upvoted or accepted answers
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Hierarchy predictive top down approach
I'm having a problem with using a hierarchical top down forecasting approach. According to my understanding, when I split an aggregated value on the levels below it, I have to know the percentages ...
- 77
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57
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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 ...
- 652
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275
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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 ...
- 1,532
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76
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imbalance in sample size at multilevel longitudinal data
I have longitudinal data (BMI level) measured at 3 time points and subjects are students nested to schools. The sample size in school level differs considerably (n=85 % in school 1, n=10 % in school ...
- 525
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166
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Discrepancy between hierarchical top level time series and direct sums - using package hts
I have an xls file with sales data from 12 shops, each selling two types of goods.
If I read in the xls file and sum up sales for each month (ignoring the two types of goods and just looking at the ...
- 465
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116
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Question about notation of expectation operators over multiple random processes
My question is what are suitable or accepted notations for taking expectations over multiple random processes in the same equation.
Let a model for variable $y$ be given by $$y_{i \alpha}=\mu_i+\...
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698
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SEM vs. Hierarchical Regression
I am comparing the outcomes of my model analysis using PLS and hierarchical regression (HR).
On SPSS (for HR), I'm using (mean or summative) scores.
On Smart-PLS, when I enter my variables as computed ...
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363
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Is my nested random-effect model non-hierarchical?
I have a problem with model structure because of the way factors are nested in a potentially non-hierarchical way. I'm not sure if I fully understand the issue but I can't find a way to specify the ...
- 997
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189
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Explaining why the slope varies in varying slope model?
When I fit a multilevel varying slope model, it is easy to summarize the variation in slope. However, I have not yet seen any materials that discusses how to explain such variation (i.e. what about ...
- 4,610
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65
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Some doubts about using time random effect
I'm starting with lme4 and GLMM. Maybe this question can be basic for experimented researchers, but I'm still learning.
I have a pooled data where every ...
- 165
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56
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Need help setting up multilevel logistic regression
I am trying to see the effect of a certain intervention in schools. The outcome variable is binary. We have students within schools. Also students' age is a covariate (doesn't changed before and after ...
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6k
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Q: plot glmm fixed and random effects (glmer in package lme4) using ggplot2
I am trying to visualize the results from a glmm that I ran with the lme4 package.
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1k
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Calculating random effects from a glmerMod object (r package lme4)
Using the lme4 package, how does ranef() calculate (or extract) estimates of random effects from a ...
- 395
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89
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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 ...
- 569
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105
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1k
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Inconsistent Z-scores from multiple comparisons of factors in glmmadmb models
First time poster, long time desperate reader. This place has been so helpful that I can usually find that someone has had the same problem as myself and had it answered here. However, I haven't found ...
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606
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GLMM: choosing appropriate distribution through residual tests?
I have a repeated measures design: a continuous dependent variable (measure), two fixed variables (treatments) and random effects (subjects). The dependent variable is not normal and the distribution ...
- 155
-1
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1
answer
2k
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Hierarchical logistic regression package in R
I'm working on a logistic regression model; the purpose of the analysis is to identify factors that influence use of an app - the DV being use/no use, and IVs being a couple of numerical and ...
-1
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1
answer
414
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GLMM with non integer proportion?
I would need some help analyzing data that I'm not sure how to analyze. I tested ten times fifteen subjects in three different experimental conditions and my goal is to compare their behaviors between ...
-1
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1
answer
41
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Multilevel modelling - using variables with different number of trials
I would like to know whether it is possible to do multilevel modelling with variables that have different number of trials. To be more specific, let's say we have
x(a), y(a), x(b), y(b) variables. x(...
- 1,782
-1
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1
answer
143
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Binary prediction with time serial and dummys
I have this data set.
I have 4 individuos, Y binary dependent variable.
I want calculate (prediction) the probability of sale of the car d (?%), in the years 2001, 2002, 2003.
The variables ...
-1
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1
answer
266
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Graph looks like there is a significant effect but my mixed effect model indicates no significant effect
Hi I would like to clarify if it's possible to have no significant effects on the glmm model although when you plot the count data it looks like there is a significant difference?
I fitted a GLMM on ...
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-1
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1
answer
175
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Hierarchical linear regression analyses, but with logarithms?
I was ask to do a linear regression analyses of my variables. I have Reaction times. Can you recommend me a linear regression analysis (hierarchical?) and tell me whether I should transform my raw ...
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