linear mixed effect model

  1. G

    Multi-level paired data: mutliple linear model or linear-mixed-effects model? or other? (with R software)

    Hello I have a stats thinking about how to best analyse my data. I have sampled forest floor samples in 10 sites, 1 sample per site. In each sample, I quantified the density of 5 different bacteria strains. I want to know if one bacteria strain is more represented on average than others, and...
  2. A

    Is the linear mixed-effects model the right choice for analysing my data?

    I'm in desperate need of advice in terms of the choice of statistical test for my analysis. Briefly to explain what I am analyzing: I want to see the effect of 2 categorical variables ("genetic_profile" and "sex") and "age" variable (recorded in exact days which vary between subjects but the...
  3. A

    Multilevel modeling with small N and large number of observations

    I'd like some general help figuring out which statistical approaches might be useful for my current situation. I'm working with: A sample of 9 subjects; id A 'time' variable (measured in seconds [0...~15000]) consisting of about 15,000 observations per subject; time A continuous dependent...
  4. S

    lmer set-up (t-test with covariate?) ?

    I have 139 subjects (ID), with measurements taken at two time points (Time1, Time2), at 148 brain regions, a dependent measure called volume, and a covariate called thickness. Each subject has 148 brain regions with volume and thickness measured twice I am trying to find out if there is a...
  5. R

    Linear mixed effect model in priming experiment

    we conducted a priming experiment. subjects and items are randomly chosen, so we need to have by-item and by-subject analysis. In the experiment, we’d examine how our factors of interest (status, gender, lexicalstatus) affect participants’ response (accuracy, reaction time). We would examine the...