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1answer
23 views

Substantive Interpretation of Negative Binomial

I am trying to interpret the output from a negative binomial regression. Online, I read that we can exponentiate the coefficients to get substantively significant values. However, I know that this ...
1
vote
2answers
131 views

Regarding glm.nb() and my parameter

I have been doing a negative binomial regression model using the following code My my estimate here comes out as 3.48. (the exponential of the intercept). The data was taken randomly (with set seed) ...
0
votes
1answer
586 views

How do I interpret a negative binomial regression with categorical predictor?

I am trying to interpret R output for a negative binomial regression. Below is my output. I'm trying to infer how much my predictor (socfrend_bin) affects my ...
2
votes
1answer
248 views

Negative intercept in negative binomial regression , what is wrong with my model/data?

I am running a negative binomial regression using statsmodels on Python. My DV is count data and zero-inflated. The one IV in my model is categorical and I have no constant term, and my understanding ...
0
votes
3answers
2k views

How to report negative binomial regression results from R

I have fit a negative binomial model in R, and would like to report the findings, but I'm unsure how (or if) I should convert the estimates to reportable coefficients. Here is my output: ...
1
vote
1answer
584 views

How to interpret standardised regression coefficients in negative binomial regression

I need some advice on interpreting regression coefficients as this is very new to me. I am running a negative binomial regression on over-dispersed count-data $Y$. In this example, $Y$ is hospital ...
4
votes
0answers
238 views

Are these negative binomial regression results reasonable?

I did a negative binomial regression on a data set with 4 covariables. The count outcome has values up to 600. I did a mixture model with 2 components, also called a latent class model. However, I am ...
4
votes
1answer
269 views

Poisson Regression and Negative Binomial regression results interpretation

I'm using Poisson Regression and Negative Binomial regression to estimate temporal trends. My understanding is that the coefficients are in log scale and they have to be translated to data-unit (count ...
1
vote
0answers
283 views

Why do different negative binomial regression functions produce different coefficients, p-values

I have a dataset consisting of number of mutations per person. Covariates I think may be related are age and source of the DNA sample. I want to determine whether the disease the person has ...
1
vote
0answers
281 views

what is held constant in case of categorical variables when multiple levels are present?

I performed a negative binomial regression and here is my output (variable names changed from my original output): ...
6
votes
2answers
326 views

Positive Poisson regression: what is the effect on the model of shifting vs truncating?

Let's say that you were wanting to model how many times someone had to take a certain test before passing (depending on a range of predictors like practice, mock tests taken, classes attended, etc.). ...
1
vote
1answer
59 views

Upon transforming coefficients, how do I transform SE, z value and Pr(>|z|)?

From a Negative Binomial regression, I obtain the following coefficients: ...
5
votes
1answer
3k views

Understanding over-dispersion as it relates to the Poisson and the Neg. Binomial

I am developing a Poisson-family glm model in R for a dataset that I have. This dataset has 650 entries with two measures of exposure. The model, though not that relevant to the question, is: $$\ln(E(...
6
votes
1answer
5k views

How can I interpret coefficients of categorical predictors in the negative binomial regression model?

I used some categorical variables as predictors to a negative binomial model. The dependent variable is numerical. I used glm.nb in R and the results show relative coefficients of one category ...
6
votes
1answer
8k views

How to get the standardized beta coefficients from glm.nb regression in R?

I'm working in R, using glm.nb (of the MASS package) to model count data with a negative binomial regression model. I'd like to get the standardized (beta) coefficients from the model, but am given ...
0
votes
0answers
31 views

unstandardized coefficients where mean-centered X variables have +/- values from 0 [duplicate]

Possible Duplicate: How to interpret regression coefficients for a variable with takes positive and negative values? I'm performing negative binomial regression and one of my centered-mean X ...
12
votes
2answers
25k views

Interpretation of incidence-rate ratios

So, I want to fit a random effects negativ-binomial model. For such a model STATA can produce exponentiated coefficients. According to the help file such coefficients can be interpreted as incidence-...