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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How to decide whether to treat the time variable as categorical or continuous?

I collected data at four waves (i.e., four time points), and I want to use a linear mixed model to analyze the data. Is it better to treat the time variable as categorical or continuous?
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Determining number of repeat measures needed to deal with measurement error through bootstrapping?

I have a performance test with a high degree of inherent measurement error. I have some data from a pilot study where I took 30 repeat measures with a single device and I want to figure out how many ...
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Is repeated measures appropriate for testing for a difference in repeated paired group measurements?

I'm new to repeated measures and am trying to understand how it maps to lmer. I have measurements from two time periods: $t_1, t_2$. At each measurement period, the same 50 different foods are scored ...
Estimate the estimators's user avatar
3 votes
1 answer
59 views

Logistic regression with complete separation AND repeated measures

Consider a typical logistic regression on data with a binary response $Y$, and some predictor variables $X$'s. I understand that when the event is rare, or in the case of complete separation, one ...
Ronald Carlos's user avatar
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Estimating maximum effect size and Skillings-Mack test

I'm working with data that fit the Skillings-Mack test: unbalanced incomplete block design. Or Friedman-test-like with missing data. In case of negative test result I'd like to estimate the maximum ...
Hubert Kario's user avatar
2 votes
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One-way repeated measures ANOVA with skewed response

We have an experiment with 102 individuals in total. We have an outcome $Y$ (which is a variable related to the structure of a given bone), and we want to know whether this variable $Y$ differs ...
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1 vote
1 answer
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Can I use an autoregressive (AR1) model to determine if longitudinal data can be treated as individual single time points?

I am currently in a position where I have two datasets, one consisting of longitudinal data collected at 4 different time points, and another consisting of only single time points (e.g. data collected ...
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Accounting for repeated measures while evaluating agreement between raters [closed]

This is a hypothetical example to illustrate my question. Study that involves monthly anxiety assessments for 30 patients using two different methods. The anxiety levels are categorized into five ...
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Modeling repeated measures data in R - Interpretation and Validation

I am currently working on a control-case study where patients and controls are assessed at five different time intervals. The aim of the study is to assess possible differences in the response ...
Ed9012's user avatar
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1 answer
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Repeated measures ANOVA for case-control study

I'm working with two groups - patients and controls - and we've collected data on 36 continuous measures (biological indexes) for each individual at 4 different time points. My primary focus is on ...
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Sample size estimation for simple mixed model

I'm looking for ways to estimate the sample size for a within-subject repeated measures design with continuous moderators. There are two conditions with 5 stimuli per condition, and each participant ...
strubadur's user avatar
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How to use repeated measure anova (within participants) if participants fill in likert scale daily for 10 days?

With the sample of people participating everyday in a diary study for 10 days. They fill in the same likert scale every day. How then I can use repeated measure anova after finishing the study?
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How can I improve my mediation analysis to account for repeated measures (2 time points)

We are currently trying to test a mediation model with repeated measures (two time points) for a 1-1-1 level analysis. My independent (TreatmentF), mediator (Ambivalence), and dependent variable (...
Marije van Gent's user avatar
1 vote
1 answer
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lme output interpretation when including a varIdent(~ 1 | subject)

I am working on a project where I want to determine the sources of variability. I built the following model using the nlme package and lme function: ...
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2 votes
1 answer
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Advice on optimal random-effects structure for not fully crossed repeated-measures design?

I have a study that is designed such that it seems to straddle a within- and between-subject design. I posted about this previously here, but at that stage I was hoping for a simple ANOVA-like ...
nostatisfaction's user avatar
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How to assess effect of event within group

I'm trying to conduct an analysis for my organisation of a change in the our complaints processing system with regards to whether it has had any adverse impact relating to a couple of demographic ...
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4 votes
1 answer
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How to analyze a repeated measures design where each participant receives only half of the conditions?

I have a study that is designed such that it seems to straddle a within- and between-subject design. I suspect there is a rich literature on how to analyze data such as these, but I simply lack the ...
nostatisfaction's user avatar
1 vote
1 answer
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Multilevel Modeling and Alternatives for Repeated Measures Design

I am conducting a study on the effect of different characteristics of urban space on human physiological response. The study is a "repeated measures" design. For this example, each of 5 ...
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1 answer
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How should I calculate z-score? Two groups with repeated measurements [closed]

In my experimental design I have two groups, Control and Experimental, both with Pretest and Posttest measurements. I want to calculate the zscore to be able to generate a composite zscore from ...
Gabriel Paz's user avatar
2 votes
0 answers
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Equivalence test with random effects

I am designing an experiment where I will test different subjects’ multiple times under two different conditions (lab and real life) My hypothesis Is that that the subject will perform equivalent in ...
Simen Leithe Tajet's user avatar
1 vote
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Within-subject variability derived from an empty mixed effects model

I run an empty mixed-effect model with an AR1 structure. My dataset included repeated measures of 20 subjects: ...
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Repeated measures MANOVA returning Pillai greater than 1

I am attempting to investigate the presence of a multivariate main effect using a repeated measures MANOVA. I couldn't figure out how to include a table to share some data so I have included a ...
AdsMatt's user avatar
3 votes
0 answers
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Power calculation with multiple techniques and multiple observations per subject

Say I have C algorithms/techniques and N subjects. For each algorithm/technique I make some (variable) number of measurements ...
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2 votes
0 answers
29 views

In ordinal regression cumulative link models, when to use scale effects (versus/with random intercepts)

When fitting a cumulative link mixed model (clmm) using the ordinal package in R we have the option to provide random effects ...
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Repetitions on the same combination of factors in mixed ANOVA and its power analysis

I am trying to decide the appropriate model and perform power analysis. Suppose a data contains 2 groups (A,B) and 28 participants from each group. All of those participants are measured 15 times on ...
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5 answers
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Multilevel MIXED Linear Regression with pseudo-repeats: Why designate "Repeated' variables, while "Subject ID" already identifies all repeats?

I am bewildered by multilevel mixed-models that have pseudo-repeats. I have difficulty understanding which variables should be considered REPEATED within a mixed-...
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Error in fitting Two-Part Mixed Effects Model for Semi-Continuous Data with GLMMadaptive

I am having trouble fitting a Two-Part Mixed Effects Model for Semi-Continuous Data to my data using the GLMMadaptive package. My trail includes: 2 wines, 2 treatments, samples seven times over 100 ...
William WIne's user avatar
1 vote
0 answers
24 views

RCT with repeated measures help [closed]

I may be overthinking this and going down too many rabbit holes of possibilities, but can someone please help me figure out the appropriate ("best") method to use for this research project?? ...
J Carr's user avatar
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4 votes
1 answer
157 views

Random effects without repeated measures?

As I understand it, random effects are good for repeated measure designs where a random intercept, for example, represents deviations from an over-all trend. Given data with many grouping factors, ...
Nate's user avatar
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1 vote
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Pre-post analysis with different number of pre and post measures at different time points [closed]

I'm trying to show the effect of an intervention. A group of about 30 individuals could hardly move their arms (because of traffic accidents). One surgery intervention was performed on each individual,...
Paula Rodriguez's user avatar
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44 views

What model to use with repeated measures of count data and a between subjects factor?

my design is pretty simple. I have two groups (control and clinical) that play a computerized ball-tossing game in which they are excluded at varying rates by 2 computer players. There are 5 different ...
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Repeated Measures ANOVA SPSS output

I had a question regarding the SPSS output of my RM Anova. I am conducting a RM anova with two time points pre and post which are my within group. My data is distributed in three conditions which is ...
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Binding/ excluding groups for the McNemar Test

Our data is like this: Participants could choose one of four parties at baseline and at follow up (Germany has many political parties...). So the table for the raw data looks like this: For one ...
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1 vote
1 answer
44 views

GLMM on proportion data based on counts

I am running a GLMM on my small dataset ($n=31$) in a repeated measures study that has $2$ groups and $5$ conditions (conditions are fixed for everyone). I am interested in main effects of group and ...
Deevy's user avatar
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1 vote
0 answers
147 views

Repeated measures of multiple time series processes

I am struggling with a comparison of temporal processes, which are observed in several time series. The problem is as follows: Suppose there are some semi-experimental conditions, with several ...
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3 votes
0 answers
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repeated measures within participant in lme4

I'm trying to learn linear mixed effects models and how to estimate them using the R package lme4 and I am confused about some aspects. I have a dataset where a ...
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How to make the case for a parallel trends assumption in a within-person DiD with 1 pre-treatment time point 1 post-treatment time point?

Study design: Within a two-year period (2021-2022), both the people in the treatment group and the people in the control group did not receive the treatment of interest at time point #1, and only the ...
Ray's user avatar
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3 votes
2 answers
93 views

lmer analysis for 58 people 4 timepoints, advice on setting the model

I’m looking for some advice on analysing this data. I think I need a multilevel model. I have 58 participants measured progesterone and a factor at 4 timepoints. I would like to do a model to see how ...
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0 votes
1 answer
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Appropriate non-parametric test for repeated measures in two groups

I have two different study groups (A: intervention, B: no intervention/control), each around n~220 patients. Now, every patient has had monthly check-ups for 12 months where blood was drawn, so for ...
Simon Hoffmann's user avatar
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0 answers
15 views

Precision-based Sample Size Calculation for Repeated Measures Design

I'm looking to calculate the needed sample size for a study based on precision of estimates, but am having a very difficult time figuring out exactly how to do it. What is mainly throwing me off is ...
Jake Remmert's user avatar
4 votes
1 answer
41 views

How to combine results from non-independent experiments with same null hypothesis (e.g. mutant mice don't have anxiety) [duplicate]

We've tested a cohort of wildtype and mutant mice on many different behavioural tests. 5 different tests, performed on different days ON THE SAME SET OF MICE, assess anxiety. While bonferonni or some ...
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0 answers
43 views

Repeated Measures ANOVA with two covariates

I am doing a repeated measures Anova My variables are like this: Y - continues variable measured pre and post intervention Intervention - the between group variable with three levels in which ...
Aron Golding's user avatar
4 votes
1 answer
108 views

How to model nested data with repeated measures

My data is like this: I have N students from different courses (variable course_id) that where asked about household income (...
LulY's user avatar
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1 vote
2 answers
112 views

Building a Mixed Effects Logistic Regression in R for Panel/Longitudinal Data

I have a dataset with 200 firms, each with 7 years of data on several numerical and categorical/factor variables, say, $(x_1,...,...
thatsroughbuddy's user avatar
13 votes
2 answers
174 views

Beyond AR(1) as a covariance structure for mixed models with repeated measures

I have been reading about alternatives to assuming an AR(1) covariance structure for mixed models with repeated measures (in time). In particular I have heard about Toeplitz and Ante-dependence ...
Harmony's user avatar
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2 votes
1 answer
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Complete case analysis, multiple imputation, or instrumental variable analysis?

I ran a small study where all participants attended a psychological intervention, and completed measures at pre, post, and follow-up. Approx. 40 participants took part, of which approx. 5 did not ...
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0 answers
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What model could be the best for this problem?

I would like to know which model could be the best for the problem i have: I have data at baseline, at 3 months Follow-up, and data until 2 years of follow up. I have classified individuals as if they ...
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6 votes
1 answer
82 views

lmer for repeated measures in complete block design

I've got a completely randomized block design with 4 treatments and 3 replications (blocks). I figured that a mixed model with repeated measures as random terms should be appropriate to analyse this ...
Laíse's user avatar
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1 vote
1 answer
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Can I use kmeans on paired data?

I want to see if a treatment brings patients closer to controls using multiple dependent variables. Can I do kmeans and see if the controls are separate from the patients before treatment, but cluster ...
maglorismyspiritanimal's user avatar
6 votes
1 answer
51 views

Mean change scores analysis for studying natural course of disease

I investigating how vision (amongst other outcomes) changes over time, assessed at time 0, week 12 and week 24 in an observational cohort, and wanted to obtain the mean change values at each time ...
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