What is the difference between fixed effect, random effect in mixed ...
Nov 26, 2023 · In simple terms, how would you explain (perhaps with simple examples) the difference between fixed effect, random effect in mixed effect models?
Why use Linear Mixed Models instead of Repeated Measures ANOVA?
Mar 14, 2019 · Repeated measures anova is a linear mixed model they are virtually synonymous...any differences "accuracy" is likely a result of the estimator function, (i.e., maximum likelihood, MCMC, …
regression - When to use mixed effect model? - Cross Validated
Apr 24, 2017 · Linear Mixed Effects Models are Extensions of Linear Regression models for data that are collected and summarized in groups. The key advantages is the coefficients can vary with …
regression - Understanding Mixed Effect Models visually with some ...
Jan 14, 2024 · My second question is: for this Random Intercept + Fixed Slope model, are we using the same formulas in Fig.3 to calculate the T-Statistic and the P-value as we did for the Simple Linear …
r - How to obtain the p-value (check significance) of an effect in a ...
I use lme4 in R to fit the mixed model lmer (value~status+ (1|experiment))) where value is continuous, status and experiment are factors, and I get Linear mixed model fit by REML Formula: value ~ ...
When to use generalized estimating equations vs. mixed effects …
The following CV questions also discuss this material: Difference between generalized linear models & generalized linear mixed models in SPSS; What is the difference between generalized estimating …
What is the difference between a mixed effect model and a linear ...
In my opinion, Linear models and linear mixed effects models in R: Tutorial in two parts by Bodo Winter is a good starting point for a person without strong background in statistics.
Analysing change scores via linear mixed effects model with baseline ...
Aug 8, 2020 · I am still trying to find a model for a large dataset, approximately 1-5 measurements per patient (over time), one is the baseline value at t=0. The researcher is interested in the change over …
Difference between Repeated measures ANOVA, ANCOVA and Linear …
Jul 8, 2020 · Linear mixed effects method with "Weight" as outcome, [group, time, group*time] as fixed effects and [subject] as random effect. Again, can we use "Percent reduction in weight" here? Linear …
Is there any function in R that computes effect sizes based on linear ...
Oct 4, 2021 · 5 after researching on how to get estimated effect sizes from linear mixed effects models in R, I still do not understand how this can be properly done. Is there any function in R that does that?