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0 votes
0 answers
46 views

Steps to conduct a linear mixed model and post-hoc comparison test

I would like to ask for your help with the best way to analyze the following experiment within R. Here is my design: there are 15 treatments, in four blocks. For each treatment, in each block, we have ...
Caio Mattos Pereira's user avatar
1 vote
1 answer
34 views

Mixed Effects with repeated measures design and covariate included

I have a dataset that consists of the oxygen consumption (MO2) values for 3 different species of fish. My experiment was a repeated measures design where I measured MO2 of the same 14 fish per species ...
Allison's user avatar
  • 31
1 vote
0 answers
22 views

is it acceptable to do pairewise comparisons for mixed regressions that aren't independent?

I have a model specified as lmer(log(dv) ~ chosen*tasktype +(1|id)+(1|qs), data) The key issue in the data is that the groups are not indepedent, i.e., ...
Jinjin's user avatar
  • 111
1 vote
0 answers
10 views

Pairwise trend comparisons for a joint model

I have built a joint model for longitudinal and survival data using the jointModel function in JM. I would like to perform pairwise comparisons of three trends of the longitudinal outcome of the joint ...
Bryan's user avatar
  • 1,109
1 vote
0 answers
33 views

Possible to estimate random effects of a two-level factor? [closed]

I want to conduct a two-way ANOVA with a mixed effect model using lme4. The trial detail is Factor A with 3 levels and Factor B with two levels (3x2) replicated on ...
Workneh's user avatar
  • 11
4 votes
2 answers
484 views

multiple linear mixed models - multiple comparisons adjustment

I recently started to work on a case-control study using repeated measures over time (Modeling repeated measures data in R - Interpretation and Validation). I have several dependent variables and I ...
Ed9012's user avatar
  • 391
5 votes
3 answers
632 views

What type of pairwise test does emmeans run?

Can someone please explain what kind of test emmeans runs when using the pairs function (is it a paired t-test between levels)? I have a linear mixed effects model ...
Merry's user avatar
  • 255
0 votes
0 answers
11 views

How to identify a set of n-highest intercepts after running a series of mixed models

I have a data frame that contains multiple dependent variables and multiple entries per subject. I don't have any regressors in my model, I am just interested in the global intercept. For each of my ...
Johannes Wiesner's user avatar
0 votes
1 answer
42 views

Multiple linear models and multiple comparison correction

I have run a PCA from which I have extracted 4 components. Each component will be used in a multilevel model as the outcome variable. The four model will have the exact same predictor variables, 4 ...
clara's user avatar
  • 43
1 vote
0 answers
44 views

Mixed model development for repeated measures over 3 years

I have longitudinal data for multiple plant varieties, where plants were measured for their Performance at 10 time points (time) each year for 3 years. Each variety (genotype) serves as a distinct ...
ChrisB's user avatar
  • 11
1 vote
0 answers
51 views

Pairwise correlation based on effect size values with missing values of some variables

I have data with seven variables and I want to calculate pairwise correlation (also the significance level of each correlation). The data I have is the effect size of a treatment on these seven ...
Khashi's user avatar
  • 21
2 votes
1 answer
231 views

Multiple group comparisons in a linear mixed-effect model

[The background] I have a category variable called group, which has five levels indicating the types of populations (g1, ...
ziqian_wei's user avatar
0 votes
0 answers
22 views

How to design contrasts for a three way mixed effect model with interactions?

I have an experiment which comprise a numerical dependent variable, say a feature such as growth_rate, and three independent factor variables describing where the samples were collected, i.e. locality,...
gabt's user avatar
  • 207
0 votes
1 answer
297 views

How do you conduct contrasts (pairwise comparisons) for a lmer() when your IV is continuous?

I am using lmer() to run an analysis with one categorical variable with 2 levels (task) and one continuous variable (farFC). Below is the model: ...
john connor's user avatar
1 vote
0 answers
21 views

What is more appropriate - a series of planned t-test or planned contrasts over a model?

Let's assume I want to compare two approaches to servicing some electric device. I have some performance indicator and I measure it over time, repeatedly. There are 10 measurements + baseline (before ...
Kaloobin's user avatar

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