2
votes
1answer
123 views

Principled ways of constraining $E[Y]=0$ when one of your regressors $\rightarrow$ 0

Consider the following ridiculous example. There is a real, non-ridiculous research question here, I promise -- I'm just a little bit uncomfortable posting what I'm working on on the internet in ...
4
votes
1answer
147 views

Whether to apply structural equation modelling separately to each of a set of heterogeneous correlation matrices in a meta-analysis context?

I'm in the process of performing an Structural Equation Modelling (SEM) meta-analysis on some psychological data. Ultimately I want to examine a mediational model based on a set of correlation ...
2
votes
2answers
895 views

What is the difference between fixed effects model and random effects model for a meta-analysis of sample correlations?

What is the difference between fixed effects model and random effects model for a meta-analysis of sample correlations ?
4
votes
3answers
256 views

Two studies, opposite results: Am I allowed to compute an overall mean using random-effect model?

I am performing a meta-analysis. I have a subgroup made only of 2 studies and they show opposite results. The 1st has excellent outcomes the 2nd very bad ones. Is it true that I am not allowed to ...
7
votes
1answer
1k views

Meta-analysis in R, using metafor package

How must I syntax the rma function from metafor package in order to get results in the following real-life example of a small meta-analysis? (random-effect, ...
0
votes
1answer
557 views

Interpret residuals in random and fixed effects models

How to interpret residuals in random and fixed effects models? I am a medical doctor. Kindly explain in simple words. Updated Here is an example: ...
5
votes
1answer
479 views

Classical measurement error model in R

I'm not sure if this is precisely a measurement error model or not. I'm working on performing meta analysis, and the model I'm starting with is fairly basic. \begin{aligned} X_i &= \mu_i + e_i ...