Questions tagged [repeated-measures]

Repeated measures data occur when more than one measurement is collected on the same unit (e.g. subject). Use this tag for RM-ANOVA together with [anova] tag.

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ANCOVA or Repeated measures ANOVA or GLMM or GEE

I've got the following problem: background A unwanted species keeps entering the farms. Some farms might be entered more often than others. There are 80 farms in total, subdivided into two groups: ...
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Controlling for baseline in pre-post between design: using $\Delta(T_2-T_1)$ or controlling for T1 in the regression model (or both)?

I have a mixed between-within design, with three groups and Pre (T1) and Post (T2) measurements. I'm hesitating on the right statistical analyses to do, but I would like to compare each group to the ...
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Contextualising post-hoc tests following repeated one-way ANOVA

I have a large dataset of 631 people that have been repeatedly measured across five different variables on some continuous parameter. The means (and SDs) for these variables are as follows: ...
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Can binomial logistic regression be used with repeated measure predictors?

I was reading about binomial logistic regression assumptions and a basic requirement seems to be : independence of observations. So I was wondering if predictors could be repeated measures (pre-post ...
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svm model for repeated measurments

I have 2 questions. Is a ordinary SVM model suitable for repeated measurments or not? If not, is there any article that has worked in this area? That is, an article about a new combination of the SVM ...
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If fixed effects and robust standard errors both necessary, do they have to be at the same level, and why?

I am working on an empirical paper using repeated cross-sectional data, and a reviewer has asked that we cluster our standard errors at the same level as our geographic fixed effects. Given the ...
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Paired T-test or Linear Mixed Model or what else?

I have measured 8 different features on the same mice on three different days. I want to compare the means of those 3 days based on the features. I have executed paired T-tests for each feature in the ...
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extract residuals to account for time effects using multilevel repeated measures data

I have data from 1000 people measured repeatedly at four-time points (always filling in the same questionnaire) and would like to extract residuals after accounting for the effect of time in order to ...
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How to model and plot a distribution of choice frequency (categorical variable) split by 2 levels of within-subject

I measured the difference in people's habits between this time last year and now. Specifically, I want to explore the difference in group size when people go to camping: do people tend to go with ...
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don´t know how to analyze ecological data, seasonal sampling I want to see effect of seasonality [closed]

I have 6 sampling dates (seasonal) 2 lakes where sampling is done from the surface to the bottom every 10 m Variables measured: nutrients, chlorophyll Within each lake all surface samples are defined ...
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How to adress the -0.71 correlation artefact in the pre-post analysis of change from baseline in non-randomized trials?

Let me make some introduction first. It's well known, that in randomized trials, in the pre-post trials, by the formal pharmaceutical regulatory guidelines, both raw post and change scores should be ...
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What is a multiple membership model and how do I fit one?

I see that there is a multiple-membership tag, but I can't find a good explanation of what a multiple membership model is, or how to go about fitting one. In my limited understanding, it seems very ...
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Is it OK to use gls (Generalized Least Square) to analyze repeated data? What about the wrong degrees of freedom?

There are mainly 3 commonly used ways of analysing repeated observations via model: linear model via GLS estimation, generalized linear model via GEE estimation and mixed models (G)LMM. Let's forget, ...
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How do I run a two-way repeated measure MANOVA in R?

I am trying to run a repeated measure MANOVA in R, with two within subjects independent variables and three dependent variables. I converted the df in long format and I am now trying to run the ...
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How can I identify outliers?

I have a collection of data that is best described using a weighted mean, that is there are a variable number of repeated measure of a single variable for each study subject. My goal is to identify &...
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The disaggregation of between-person and within-person effects in nonlinear generalized additive mixed models (GAMMs)

As per Curran and Bauer (2011), one should disaggregate the between-person and within-person effects when conducting longitudinal multilevel models. One approach mentioned for time-varying covariates (...
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Validity with repeated measures

I have some data that was collected with 2 different devices on a sample of 50 subjects. It was also collected for 50 days in a row. One of the devices is considered "the gold standard" ...
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Multi-level Latent Class Growth Curve Model of a double-repeated measures data structure

I have an interesting data structure I'm trying to analyze. I've decided that the best route is most likely using some type of LCGA, but am having trouble conceptualizing the model. Unfortunately, I'm ...
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Calculating Variance of the LogOR for within subjects studies for a meta-analysis [duplicate]

I would like to add to a meta analysis both studies with between and within subject design, but for the latter I don't know how to calculate the variance of the logOR. I found an answer here But what ...
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GLMM - assumptions and repeated measures in R

I am trying to run a GLMM - binomial logit. I have four independent variables ($x_1$, $x_2$, $x_3$, $x_4$) and a dependent variable ($y$) - all factors (where $'0'=$no, $'1'=$yes). ...
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Help on determining the effect of a drug in tumor counts in a within subject design

Thank you all in advance, I am having difficulties in deciding the best way to determine the effect of a treatment from observational data (there are no RCTs available). I have an observational cohort ...
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Which regression model should be preferred when multiple measures are taken for each subject?

I have 50 subjects. Each subject has a tendency to fall, and I'm interested in the time it takes for me to come help them after they fall. I want to see if the time it takes for me to help a subject ...
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multilevel model specification

We had participants complete a virtual maze. We showed the participants the correct path through the maze, then had them complete the maze 10 times. The maze consisted of 15 decision points, which are ...
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Regarding flattening a 3 variables experiment to conduct one-way repeated measures ANOVA

I recently conducted an experiment where I had participants experience 8 conditions in a 2x2 manner (two variables and their combinations). This was primarily to give us an opportunity to observe how ...
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Mixed model dfbetas procedure question

I have two questions that I will explain in detail and give an example: When iteratively calculating dfbetas in a linear-mixed model and creating a fixed-effect dummy variable to remove the influence ...
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Transform 3 dependent samples (each n = 10) into 2 groups (n1 = 20, n2 = 10) - which statistical test?

I have 3 dependent measures of psychological data (each participant took part in 3 different conditions). I would like to add sample 1 and sample 2 together (because condition 1&2 are similar) and ...
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Does HC3 correction for unequal variances work in mixed ANOVA?

Since equal variances are necessary for any ANOVA that contains between-subject factors – regardless of whether it also contains within-subject factors – all such cases need correction (or alternative,...
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Mixed ANOVA normality: which variables should be examined? (in universal and practical application with stats::aov)

I have spent a lot of time reading book chapters, articles, online tutorials, etc., but with no clear answer (mostly because they only describe one-way ANOVA or other very specific applications). ...
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Appropriate model for model with a binary outcome with a small number of repeated measures in the data

I am bit stuck when it comes to how best to account for repeated measures in a model with a binary outcome. I am trying to model some data related to the processing of complaints, and whether a ...
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Issues with random effects: what to do when analyzing sites with all 0's or all 1's?

I'm analyzing data that looks at the survival of artificial bird nests under different treatments. These nests were grouped across 80 sites, with 6 nests per site. I have created a binomial model on R ...
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Why does this error occur with my linear mixed models?

I am attempting to run linear mixed effects models using the function lmer() in order to analyse the effect of the direction of change (single categorical fixed effect) in weather parameters over a ...
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Translation of between-subject sample sizes to within-subject sample sizes

The following formula can be used to translate the sample size needed from one way between-designs (NB) to sample sizes needed in one way within-designs (NW): NW = NB(1 − ρ)/number of data points per ...
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Not reaching convergence with mixed model

I've got a study in which patients (record_id) can have from 1 to 5 aneurysms (concurrently) and each may be treated differently (each aneurysm). We are interested ...
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Is this analysis of contrastst in a longitudinal trial correrct?

I have a longitudinal experiment with 2 groups (two treatment methods) of subjects, repeatedly measured over time. I wanted to show the difference at the end of the trial in how well both methods work....
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Why significant predictors are different for two highly correlated dependent variables?

I am using linear mixed-effects (LME) models to investigate the longitudinal effects of maternal factors on infant adiposity indices. Infant adiposity was measured at 3-time points (birth, 3 months ...
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Multiple comparisons in repeated-measure longitudinal design - is Dunnett via multivariate t (mvt) OK?

I just got a negative response from a statistical reviewer. I analyse data from a longitudinal experiment with single group of subjects repeatedly measured over time. I want to assess their change ...
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GEE or fixed effect regression with clustered SE

What should be considered when choosing between GEE for repeated measure (panel) data, and generalised linear models with clustered (on individuals) sandwich variance estimator? For example, change in ...
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Nested and crossed effects in 3-way interaction in lmer

I am running a mixed model in lmer, testing the effects of Covid restrictions on sleep, comparing 2 cohorts of individuals- one from 2019 and one from 2020, coded 0/1 (between subjects). Each ...
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Is it appropriate to use Pearson Correlation Coefficient when data has repeated observations per unit?

Goal I want to find the strength of relationship (correlation) between two variables measured for 40 drivers. Data My dataset has 2 variables, ...
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Which significance test for investigating an improvement over time?

Context: I am investigating a dataset that has the ID of a subject, the number of miles they travelled on a specific day, a grouping category for 50 users, and a date for when they recorded the data. ...
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Multilevel model with longitudinal repeated measures

I'm relatively new to mixed linear models. I have a dataset of education data measuring classroom behaviours (continuous dependent variable) during two different learning activities (categorical ...
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Is this a proper use of mixed modeling?

I admit I'm fairly new at statistical modeling and so I'm not confident in the method I am using. Using LC-MS/MS, I am monitoring the degree of post-translational modification of specific peptides by ...
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Is the repeated G-test of goodness-of-fit the appropriate statistical analysis?

I made observations of animal social behavior in which I categorized interactions as either competitive, cooperative, or neutral (i.e. one nominal variable with three possible outcomes). I want to ...
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How do you calculate a 4-way mixed ANOVA (4 way SPANOVA) by hand in a spreadsheet?

I would like to include an interactive 4-way mixed ANOVA (4-way SPANOVA) in a google sheets document. Does anyone know how to calculate it by hand in a spreadsheet without the use of SPSS or R?
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Compare two variance ratios

I have paired data from two samples (variables $X_{A1}$ & $X_{A2}$ from sample $A$, and $X_{B1}$ & $X_{B2}$ from sample $B$). There are lots of methods for comparing the variance of two paired ...
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What is the best analytic approach for two arm randomized pre-post trial?

Study design is a classic pre-post design: two trt arms (treatment, control). Subjects are randomly assigned into two arms. outcome is continuous and measured at baseline and a follow-up time point (...
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Linear mixed model with many NAs

I am running a linear mixed effects model in R using the lmer4 package. I was wondering if my data is structured in the right way for this purpose. In a few words I have a response variable "...
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How to distinguish between a variable and a control factor in Anova design

Suppose I have an experiment in which participants are presented with different types of colored objects, hence 4 variables are introduced (i.e., blue, red, white, black). Participants are then ...
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Converting Cohen's $F^2$ to Cohen's $D$

How can I convert Cohen's $F^2$ to Cohen's $D$? I am interested in calculating the effect size for the difference between two groups in a mixed model. The data is from a within-subjects experiment ...
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Testing the same parameter across different models with the same covariates

Say I have three logistic regression models, with the same covariates in each model, but different outcome. Each model is structured as $Y_{ij} = \beta_{j0} + \beta_{j1}*Age + \beta_{j2}*Weight$, ...

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