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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
3
votes
2
answers
2k
views
Why is linear regression results so much different from Poisson regression?
I ran both a linear regression and Poisson regression on count data (data ranges from 0-54) with two continuous predictors and the p values were very different between them. … The standard errors were also lower in the Poisson regression. …
0
votes
0
answers
27
views
Systematic way to examine good ROC model from different scoring systems
I am attempting to come up with a scoring system to determine whether one is sick or healthy (based on a certain disease) using biomarkers from blood tests. I normalized all of the biomarkers (divided …
3
votes
1
answer
41
views
What stats should you include on poisson regression plot
I have this quasi poisson regression plot and I will be presenting in at a conference (obviously it will look better than this). What statistics should you be presenting? …
4
votes
1
answer
1k
views
Can you use regression to predict values if you imputed data using MICE?
I used multiple imputation on a data set that had some missing values (I had to do this as the sample size was low so I couldn't just exclude the NAs). I know you can do
*read in dataset*
d <- mice( …