Questions tagged [longitudinal]
Data from studies or processes with multiple observations over time. Econometrics is a typical topic where such data would be collected and analyzed. Proper analysis will take into account auto-correlation and cross-correlation.
longitudinal
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GEE Modelling with 'geepack' showing contrast errors [duplicate]
I want to use Generalized Estimating Equations (GEE) to model longitudinal survey data. Participants' responses were recorded at three timepoints, and I have multiple independent variables that I ...
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GLM for longitudinal or time-series -- how to model and interpret a binary logistic regression over time controlling for covariates using R [migrated]
I work with the risk of delays (0 = no risk, 1 = risk). I want to run a binary logistic regression considering panel data over time. I have data from 4 years (4 time-points) and some covariates (...
- 1,552
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R New Variable if_else with longitudinal data
I am currently working on longitudinal data in which I have participants BMI category (normal, overweight, and obese) for three time points, age 7, 9, and 11. I would like to create one new variable ...
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pivot longitudinal data into wider format: error due to attributes, also need to detect differences over time
I have longitudinal data and need to check whether contact info remained the same over time. A simple version would look like this
id<-c(1,1,2,2,2,3)
em1<-c("[email protected]",NA,"Bb@...
- 15
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Merging data to create a longitudinal dataframe in R
I have dataframe, df_master, which is comprised of longitudinal data for multiple patients ("record_id") where each row represents a day of follow-up ("time").
A second data frame ...
- 127
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How do I perform an ordered logistic regression with the R lme package?
I have longitudinal ordinal data and survival data. I want to do a joint model. I am familiar with the JM package, which uses lme for the longitudinal model. I theoretically understand that you can ...
- 225
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lme4 convergence warning and rescaling in longitudinal data analysis
I have a longitudinal data with ~2400 participants and ~15000 observations. When fitting the mixed effects model using lmer() with a random slope of time, I received a warning:
optimizer (nloptwrap) ...
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Difference between DSEM and Latent Trajectory with Structured Residuals
I am having a find time understanding the difference between Dynamic Structural Equation Modelling (Asparouhov et al., 2018) and Latent Trajectory with Structured Residuals (Curran et al., 2014). I am ...
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estimating percent trend of category variable per year in Stata
I am trying to graph a trend line of categorical variable by gender in Stata. It would be like a percentage trend of each value of this categorical variable (level 1, 2, and 3) by gender and I can't ...
- 179
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MicrobiomeTest::generate_alpha_trend_test_long() not recognising rownames and columns
Good morning everyone,
I am trying to use MicrobiomeTest to perform a longitudinal analysis on a microbial community. It worked all fine at the beginning, but after I used a different dataset, the ...
- 193
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Goodness of fit in Hidden Markov models (Latent Transition Analysis) using LMest, assessing covariate effects
I am a student trying to do Latent Transition Analysis/Hidden Markov for the first time for my thesis using LMest in R. I am analyzing various behaviors (binary variables) measured during two time ...
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lcmm() in R Error: Numerical problem by computing fn value of function is : NaN
My data frame filtered_gmmdf_long (long format) has no NA. It contains the variables ID, time (i.e. 0, 3, 8, 15, 25), and wblv (continuous, approximately Normal distributed).
Sample data
library(dplyr)...
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92
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Latent change score using lavaan with observed variables measured at two time points (and comparing results with traditional repeated measures anova)
I would like to carry on a latent change score model for 5 different psychological constructs measured at two time points in lavaan. People told me it can do ok with missing data. I'm struggling with ...
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I need help in estimates lme models
I'm analyzing two models of class LME for longitudinal data (observations in two times), but
this message appears Error in lme.formula(y ~ x, random = ~1 | id, data = data_long) : nlminb problem, ...
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Predicting outside of follow-up time with JMBayes2
I am trying to work with the JMBayes2 package to simulate outcomes outside of my datarange for a problem where I have a longitudinal outcome which forms a proxy for cognitive functioning and a binary ...
