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2 votes
1 answer
735 views

How to obtain contrasts for constrained longitudinal data analysis?

I would like to apply a constrained longitudinal data analysis (cLDA) with a linear response variable of the form, y ~ Time + Treatment:Time + (1 | ID). I am using &...
-3 votes
1 answer
143 views

lmer model output interpretation [closed]

I'm trying to interpret the lmer model output. In particular, I am trying to explain 'HU mean' with pathology (which has 3 categories Healthy - HC- VSD), gender (M-...
1 vote
1 answer
125 views

linear mixed model with repeated measures

I am trying to wrap my head around linear mixed models for repeated measures with random effects. I'm choosing to conduct this type of model due to missing values in my dataset. I am interested in ...
0 votes
1 answer
155 views

Help with lmer formula for a repeated measures ANOVA

This is my first repeated measures analysis. Subjects in two groups exercise until "peak" level. Blood is taken at baseline (prior to exercise), peak, 2hrs post, 24 hrs post, and 72hrs post. ...
1 vote
0 answers
59 views

Mixed Effects Model - Repeated Measures with considerable amount of missing data

I am testing differences in gene expression across four time-points and between treatment and control. In total, 50 individuals were recruited for the Treatment Group and 58 recruited for the Control ...
2 votes
2 answers
340 views

What should be normally distributed for a two-way repeated measures ANOVA? R

When running a two-way repeated measures ANOVA, should: A) the independent varibles be normally distributed? B) should the scores between the variables be normally distributed? Overall: should the ...
1 vote
1 answer
118 views

How to specify a repeated measure in a Mixed Effect ANOVA?

I am trying to run a Repeated Measures Mixed Effect ANOVA in R. However, the syntax of the code is really tricky and it seems like there is not a lot of clarity on how to run it as I do my research. ...
2 votes
2 answers
275 views

Specify an lmer model for fully crossed data with replications

I have experiment data with multiple independent variables: shape - 2 factors color - 2 factors ...
2 votes
0 answers
26 views

Using multilevel modeling to test differences in the ability of trait and state measures to predict outcomes

I'm currently trying to test whether trait is better at predicting overall/mean job performance than state anxiety and whether state anxiety is better at predicting daily job performance than trait ...
2 votes
0 answers
62 views

How to distinguish between measurement error and within-person variability in multilevel modeling/HLM

I'm currently running a model to determine if people vary in their daily levels of variable Y, and if daily levels of variable X predict daily levels of variable Y. I collected measurements of both X ...
0 votes
0 answers
67 views

LMER returns errors, but Repeated Measures ANOVA on the same data doesn't, why?

everyone! So, I've been trying to fit a LMER for my data, which I fully described in this post . This post, therefore, is a follow-up from the previous one. There's something intriguing me, I don't ...
1 vote
0 answers
18 views

How to assess whether study strategy affects slope of repeated measurements?

I wish to assess the effect of teaching strategy on improvement in grades (slope). For this, I plan to conduct a study where students will be assigned different teaching strategies for their tests. ...
2 votes
1 answer
37 views

Interpretation of a mixed effect model

I have the next dataset: ...
1 vote
1 answer
31 views

Need help with analyzing data from within subjects design study

I am planning to conduct a within-subjects design study, and I am wondering if data analysis can be done using multi-level analysis. IV and DV will be continuous variables. Moderator will be binary, ...
1 vote
1 answer
753 views

Random effects in linear mixed model (LME) with repeated replicates

My question in short How to account for repeats of replicates of a full factorial design in lmer() of the lme4 package in R? ...
1 vote
1 answer
154 views

Correct specification of linear mixed model with repeated measures in R

I have a dataset with repeated measures data but I'm unsure of the specification of my model and subsequent contrasts: In the dataset, participants responded to a measure (...
2 votes
0 answers
659 views

lme4: glmer() warning messages with count data mixed-effects model and how to proceed with model fit

I have fitted a GLMM with the function glmer of lme4 package. My data consists of a repeated measures count variable, which I am trying to explain with a continuous variable (week) and some ...
0 votes
0 answers
59 views

Can a mixed model random slope include a between-subjects factor in a repeated measures design?

I'm after some statistics help with generalised linear mixed models. I have built a model using glmer from the lmerTest package in R to fit my data with a gamma distribution. The formula is as follows:...
4 votes
2 answers
313 views

Obtaining correlation between random-effects separately for 2 groups

I'm following up on this great answer. Suppose I have a cross-level interaction in my mixed-effects model below (ses*sector). My cluster-level predictor ...
3 votes
1 answer
2k views

Repeated Measures with LMER: Include time as random effect?

I have a dataset of measurements of 29 patients across three time-points. The scenario can be easily simulated using: ...
0 votes
1 answer
57 views

Linear mixed model with outcome measured just once, using nlme in R

I've got repeated measurements data on a continuous, time-varying exposure and a continuous outcome. The exposure was measured 1-...
1 vote
0 answers
319 views

Which mixed model in lme4 best mimics the unstructured covariance in GLS?

I have longitudinal study to analyse. M patients examined at N time points. I want to run a marginal model via GLS estimation with unstructured residual covariance. But I want also to apply the ...
0 votes
2 answers
310 views

Anova and mixed effect models (lm4 / nlme) return complete different effects

As a continuation of a previous topic, I would like to address a similar experience. Subjects completed an experiment in which their electrodermal activity was recorded. For each subject there are 72 ...
1 vote
0 answers
164 views

Random-effects-model: different random effects for lme and lmer?

I’m very new to hierarchical/multilevel analysis, so please excuse me, if my question is basic. I’m wondering why I get different results if I analyze my data with ...
1 vote
0 answers
200 views

MIxed model on repeated measurements data with only 2 observations per patient?

I've been trying to find out if it would be possible to use linear mixed models on repeated measurements data when there are only two measurements within each participant. This paper (doi: 10.1002/sim....
0 votes
1 answer
936 views

Fitting a linear mixed model on repeated measurements data, do I in- or exclude patients with only 1 observation?

I have a dataset of about 300 patients of which 100 have repeated observations of the outcome (2-6 observations per patient) and 200 have only 1 observation of the outcome. To determine what the risk ...
2 votes
0 answers
47 views

Can trial-level reaction-times be used to predict subject-level scores of another task?

I would like to predict whether single Reaction-Times (RTs) in a computer task can predict subject performance on a comprehension task. For each subject, I have many RTs but only 1 comprehension score....
1 vote
0 answers
67 views

Modeling repeated measures in a lme model (R)

Given one between-subjects (group: 2 groups), one within-subjects (time: 2 timepoints), and one continuous covariate, how would the syntax look for repeated measures data using lme in R? At the moment,...
1 vote
0 answers
176 views

Linear Mixed Model: Multiple data points per participant at multiple time points

I am looking to compare change between pre and post time points separated by fatigue. The data has multiple participants and each participant has 6 data points pre fatigue and 6 data points post ...
1 vote
1 answer
53 views

Unbalanced repeated measures?

I am interested in the relationship between body mass and thyroid hormones in male and female birds. I have a sample size of 77 males and 28 females. Of these individual, 6 males and 1 females were ...
0 votes
1 answer
211 views

Predicted values from a linear mixed model don't form a straight line even though no (higher order) transformations/polynomials have been specified

To assess if age is related to my continuous_outcome in my repeated measurements data, I've specified a linear mixed model with ...
0 votes
0 answers
34 views

Correct model formula to account for crossed and nested simultaneously?

I set some models to test some specific contrasts. But I'm not sure which will correctly address the repeated measurements over my individuals. The dataset has: id = subject id, factor with 83 levels ...
1 vote
0 answers
37 views

Experiment with two within-subjects and one between-subject with linear mixed models?

I need to analyze one dataset that contain two variables measured in the same subject and one across subjects. The variables are: id = subject id, factor with 83 levels tissue = factor with 2 levels (...
2 votes
1 answer
165 views

Ho to explore the interaction between dependent variable and covariate?

I'm conducting LMM by adding three independent variables (A, B, C) and a covariate (E) as the fixed effect, and the random intercept for each subject as the random effect in the model, as shown here ...
1 vote
1 answer
982 views

Implementation of 4-level repeated measures multilevel linear mixed effects model

Prior Searches Prior to reading below, I have searched this forum for other posts of this nature. I have a found a few, but I have not found them to be helpful to my specific challenge. Particularly, ...
3 votes
1 answer
52 views

Specifying a mixed model with cross correlations and hierarchies in Lme4 syntax

My aim is to predict the quality $y$ of a food product based on measurements $x_a$ and $x_b$ on the main ingredient. I have several batches of a food product that are evaluated for quality by ...
0 votes
0 answers
156 views

GLM Repeated Measures, with only two time-points (pre-post)?

I have a dataset that comprises of the same variable, measured at two different time-points (Pre-treatment and Post-Treatment). I want to check if there is an effect of Age in the results of the ...
1 vote
1 answer
903 views

Lmer set up for repeated measurements?

I have 139 subjects (ID), with measurements taken at two time points (Time1, Time2), at 148 brain regions, a dependent measure called volume, and a covariate called thickness. Each subject has 148 ...
1 vote
0 answers
158 views

Test for difference at each time point in panel data of long time series?

The easiest way to describe my question is perhaps with plots: In this hypothetical data, each group has 9 subjects, and each subject's response is measured from time = 1… to 5. Is there a way to ...
15 votes
1 answer
4k views

Why is this linear mixed model singular?

I'm trying to understand why I get a singular fit when a linear mixed-effect model is fitted to the data below. I used R lme4::lmer and the model is very simple ...
2 votes
1 answer
206 views

Is my mixed-effects model syntax correct ? (R,lme)

This is my first question after sign in: when I read a paper, the author said: "To explore the influences of X(2 group:X-,X+) on the longitudinal change in the above "OUTCOMES", we ...
2 votes
1 answer
2k views

Mixed effects model adding covariate vs adding random effect

I am currently looking into mixed effect models and I am trying to understand the difference between adding a random effect and adding a covariate to a linear model. Consider this example: ...
1 vote
1 answer
40 views

Modeling nested data using linear mixed modeling (specifically lme4)

I'll appreciate your help with conceptually understanding the models below. I have data for 150 subjects who completed a cognitive task. Each subject responded to four types of stimuli (A, B, C, D), ...
1 vote
1 answer
253 views

Crossed random effects: how do we model multiple reciprocal transplants in lme4?

I saw the previous post on "Crossed vs nested random effects: how do they differ and how are they specified correctly in lme4?" with a very nice descriptive response from @RobertLong (...
2 votes
1 answer
145 views

Full dataset with few repeated measures

I am dealing with a dataset with the majority of entries with one value per individual but, with three cases with 2 repeated measures each. My first approach would be to pursue linear mixed models, to ...
3 votes
1 answer
1k views

Do I have to drop a random slope if I drop the fixed effect in mixed-models for model comparison?

I'm performing a model comparison using the likelihood ratio test in R with two mixed models fitted with lme4. My model is: ...
2 votes
1 answer
3k views

Lmer Random Effects Interpretation

Sorry, I am new to linear mixed models. I run a linear mixed model and get the following Output: ...
1 vote
1 answer
334 views

Can you include between-subject control variables in random effect structure of mixed models if they are not fixed effects?

I tried finding similar cases and questions but failed and got even more confused because the answers seem to depend on when the questions were asked due to changes in the lme4 package. So I'm sorry ...
9 votes
1 answer
773 views

Confused: Why is lme4 changing techniques from Wald F tests to Wald Chisquare?

I've constructed some LMEMs that use dichotomous variables and their interactions as regressors, and I've become confused by the output. When I only assess a single interaction, using the code below (...
1 vote
1 answer
486 views

Residuals in LME models

Good morning everyone! I have implemented the following lme model in r: ...

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