Question: How to compare the same variable using models with different covariates?
0
gravatar for brenda_onix
16 days ago by
brenda_onix0 wrote:

Hi! I have measures from an epigenetic variable from two different groups (Treatment and control) measured in two different tissues. I have identified differences for this epigenetic variables between Treatment and control groups (Group) in each tissue separately, splitting my data into two subsets (one for each tissue) using the following models in R:

model_tissue_1 <- lm(Epigenetic_variable ~ Group + Age + Sex + Cell_proportion_1 + Cell_proportion_2 + Cell_proportion_3 + Cell_proportion_4, data = my_data_tissue_1)

model_tissue_2 <- lm(Epigenetic_variable ~ Group + Age + Sex + Cell_proportion_1 + Cell_proportion_2 + Cell_proportion_3 + Cell_proportion_4 + Cell_proportion_5 + Cell_proportion_6 + pH, data = my_data_tissue_2)

Please note that each model includes different cell proportions as covariates, according to the studied tissue. Also, model_tissue_2 includes an additional covariate that was not measured in the other tissue (pH).

Now, I would like to evaluate cross-tissue differences for the Epigenetic_variable among the groups, i.e., to identify Epigenetic variable differences between tissue_1 and tissue_2 for individuals in the Control group, as well as in the Treatment group, if possible considering all the covariates from each model. Is there a way to do this?

Thanks :)

ADD COMMENTlink modified 15 days ago by JenniferYusi0 • written 16 days ago by brenda_onix0

Confused also...I also have the similar problem. And I hope someone can help me.

ADD REPLYlink written 15 days ago by JenniferYusi0
Please log in to add an answer.

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 762 users visited in the last hour