In a paper on reintroduced cranes, I have data like this: ID, Sex, Year, Dispersal* (e.g., 1-01, M, 2002, 1)
I want to show that females disperse more than males.
I used chi-square. Reviewer indicated this violated assumption of independence because of multiple years of data for same birds and that I should use GLIMMIX.
What are lines of code needed to set up model?
SAS version 9.x (latest)
*Dispersal: 1 = in reintroduction area; 0 = out (dispersed).
Thanks, Richard
id = identification code for each bird.
out = dispersal value (=1 if out of reintro. area); each bird has data in 1 or more years (observations).
This code:
proc glimmix;
title 'difference in dispersal by sex including all birds';
class sex id;
model out = sex / link=logit dist=binomial;
random int / subject=id;
run;
Produces these results: Type III Tests of Fixe Effects:
Effect = Sex, Num DF = 1, Den DF = 568, F Value = 5.26, Pr > F = 0.0221
Does this look correct? Thank you.
Sorry. I am not expert about proc glimmix. You should post it at Statistical Forum. @Steve @lvm ... are there .
Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.