Skip to main content

All Questions

2 votes
0 answers
582 views

Very different results between R and SAS for negative binomial model

I am getting very different results for a negative binomial model between R and SAS. Can you please suggest as to why is this happening? I am not able to add a csv file used as the data. R script: <...
Meg 's user avatar
  • 63
1 vote
1 answer
465 views

How to interpret this SAS poisson regression output?

I have a dependent variable being positive, discrete (number of people migrated) and the independent variables are all continuous. I want to study the impact of the independent variables on the ...
Charlotte's user avatar
  • 405
1 vote
0 answers
57 views

Validity of setting Singular=1 in proc GLM Contrast statement (SAS)

I am running a proc GLM in SAS with specific contrasts, one of which is included in the code below. With the following code, all my contrasts are always unestimable: ...
amateur3057's user avatar
1 vote
0 answers
113 views

How to interpret the beta estimates of a generalized linear model with a square root power link?

I'm running a generalized linear model (GLM) in SAS with a gamma distribution (since my Y response variable is skewed to the right) and a specified square root power link (since I found that ...
StatBoy_41's user avatar
0 votes
2 answers
2k views

Difference between PROC REG , PROC GLM, and GENMOD

Can anyone give me a very simple explanation of each? I have no previous statistical background - what would be examples to use each? Thank you. Apologies if this is very broad but I cannot decipher ...
mindhabits's user avatar
1 vote
1 answer
43 views

Calculate risk between classes

I am doing some exercises about logistic regression with SAS and I need to calculate and interpret odds. For calculating the individual probabilities I use those formulas: While later, the Professor,...
sanna's user avatar
  • 123
2 votes
0 answers
290 views

SAS and R gives different standard error when fitting Tweedie model

I would like to fit a Tweedie GLM to the data. However, even though PROC GENMOD from SAS and glm() from R gives the same coefficient estimates, they give quite different standard error. What it the ...
3x89g2's user avatar
  • 1,716
2 votes
0 answers
201 views

Insignificant “time variable” in GLM?

I'm used to GLM modelling with a time variable, eg. Month or Year, main reason being it is often used as a proxy for an immeasurable variable, or simply data you can not easily obtain, econometrically ...
antonmeissner's user avatar
2 votes
0 answers
1k views

Calculating Effect Size for Generalized Linear Models

I have measured spore production by a parasite after feeding the host on 4 diets of varying nutritional content. I have primarily analyzed the data by treating the diets as categorical variables, even ...
Andrew Sanders's user avatar
0 votes
0 answers
204 views

Strategies for model selection of non-nested GLMM models

What are the best strategies to select between a small collection of possible models when the models are non-nested and modeled using a GLMM with correlated residuals (longitudinal random effects or $...
Ashe's user avatar
  • 1,145
5 votes
1 answer
326 views

In SAS, does the using the GLM statement ABSORB invalidate the standard errors of the parameter estimates?

SAS provides a handy tool for handling panel models with a large number of groups by 'absorbing' those groups (PROC GLM; ABSORB). My understanding is that it factors the effect of the absorbed ...
BrentL's user avatar
  • 51
3 votes
1 answer
1k views

Fit a linear mixed model with only 1 group

In R, is it possible to force a lmer model with random effect to be fitted on data with only one level? We want to do this to keep the same model structure in rare case where our data only contains 1 ...
Philippe Massicotte's user avatar
1 vote
0 answers
114 views

Inflated Odds Ratios in a Mixed Effect Logistic Regression

I have a dataset with approximately 40,000 observations, which are dependent, coming from around 30,000 subjects. Most subjects has 1 observation, some have 2, a minority has 3, while 4 is rare. The ...
BlueSigma's user avatar
  • 486
0 votes
1 answer
1k views

When fitting Tweedie GLM in SAS, should I use the scale option?

In SAS proc genmod with dist=tweedie, when would you use scale=pearson or ...
Robert's user avatar
  • 1
3 votes
1 answer
6k views

glmer in R to recreate GLIMMIX from SAS

I am trying to recreate a PROC GLIMMIX command in R using glmer. Here is a link to the data (from SAS product support GLIMMIX documentation): https://support.sas.com/documentation/cdl/en/statug/63033/...
banwarp's user avatar
  • 31

15 30 50 per page