BookmarkSubscribeRSS Feed
Mrahman85
Calcite | Level 5

Hi

 

I conducted a experiments having data of seven repeated times with two treatments and three replications (locations) (see below). I want to do analysis by logarithmic Poisson generalized linear mixed model (GLMM) to know treatment effect in each time as well as time effect and time*treatment effect. Could you provide sas code for doing this analysis. Please look at the data below. Thanks in advance.

I alredy did repeated measure ANOVA by Proc GLM, but now I have to change the analysis to 'logarithmic Poisson generalized linear mixed model (GLMM)'.

 

Treatment

Replication

time 1

time 2

time 3

time 4

time 5

time 6

time 7

 

1

 

 

1

0.00

0.01

0.02

0.01

0.01

0.05

0.22

 

2

 

0.02

0.06

0.07

0.01

0.10

0.71

0.66

3

 

0.03

0.02

0.09

0.04

0.22

0.43

0.36

1

 

 

2

0.00

0.00

0.01

0.03

0.00

0.06

0.22

 

2

 

0.02

0.01

0.01

0.00

0.03

0.06

0.07

3

 

0.02

0.00

0.01

0.00

0.03

0.03

0.01

         
3 REPLIES 3
PGStats
Opal | Level 21

Can you provide references describing what logarithmic Poisson generalized linear mixed models are? Googling these terms only returns applications in software reliability, which isn't to my knowledge an experimental discipline.

PG
Mrahman85
Calcite | Level 5
Could you provide sas code like generalized linear mixed models (GLMMs).
See the attached paper.

##- Please type your reply above this line. Simple formatting, no
attachments. -##

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

Tips for filtering data sources in SAS Visual Analytics

See how to use one filter for multiple data sources by mapping your data from SAS’ Alexandria McCall.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 3 replies
  • 942 views
  • 0 likes
  • 3 in conversation