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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. …
Ryan's user avatar
  • 413
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 …
Ryan's user avatar
  • 413
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? …
Ryan's user avatar
  • 413
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( …
Ryan's user avatar
  • 413