# Questions tagged [poisson-regression]

Poisson regression is one of a number of regression models for dependent variables that are counts (non-negative integers). A more general model is negative binomial regression. Both have numerous variants.

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### Python: Nonlinear Poisson Regression with two independent variables, or something similar like a Random Network? [closed]

I'm looking for a algorithm to use Nonlinear Regression with Poisson for predictive purposes in Python or something similar anyway. I would need something similar to Poisson regression, but with some ...
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### What type of regression to use when outcome is integers from 0 to 10

I have an outcome variable that measures "community perception," with responses ranging from $0$ to $10$. For instance, the outcome variable might represent answers to the question: "In ...
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### How can I use a variable as a covariate which exists only for specific range for some clusters/groups?

I want to know how to use Poisson GLMMs when we have unequal samples available for different groups/clusters/participants in data. Imagine a study where each of the 60 participants are given 1000 ...
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### Why do the standardized beta values and CIs of a glm poisson regression model not differ from the unstandardized ones (using report function)?

For a specific research question i fitted a generalized linear mixed model using a poisson link function due to the characteristics of my data. For reporting purposes i used the report package and the ...
1 vote
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### Mixture of two Poisson distributions

I would like to determine the mixing between two Poisson distribution means. I have $N$ observations that are drawn from two Poisson distributions. Each observation is drawn from one of the two ...
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### Comparing Age-Adjusted Mortality Rate between 2 groups

Context: I am using national mortality database to compare the mortality of X disease by demographic factors. I divided the county based on social vulnerability scoring into 4 groups (1,2,3,4 based on ...
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### GLM (Poisson regression) and Linearity

I understand that an assumption of Poisson regression is a linear relationship between the transformed expected response in terms of the link function and the explanatory variables. Therefore you ...
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### Is it possible to estimate the cumulative effect without using distributed lag model?

I am fitting the temperature and mortality data by using conditional Poisson regression. The following formula and data are used: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-...
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### Predictive Modeling of Overseas Filipino Workers' Average Length of Stay: A Comparison of Linear and Poisson Regression Models

i want to find our average length of stay in months with a discrete values however the number of months in the dataset is up to 60 that we can treat as continuous. I would like to determine when is ...
1 vote
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### Is there a way to set an exposure for a Poisson loss in Catboost?

I'd like to use Catboost for actuarial models (eg claims frequency). Although I see that Poisson loss is an option, I don't see that exposures are directly supported. How do people deal with this?
1 vote
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### Can we use Poisson regression model to predict the effect of misinformation on user engagement on social media posts

Our research question is what is the effect of misinformation on user engagement on social media posts. The unit of analysis is a social media post. Misinformation is an indicator variable and the ...
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### Longitudinal RCT modeling of continuous time

I have data from an intervention study (10 clinics, 5 control, 5 treatment). The outcome is counts, and we have monthly data at baseline, treatment active phase, and post treatment phase. The number ...
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### Replicate univariable poisson regression results from a single-row-per-patient dataset on a multiple-row-per-patient dataset

I performed univariable Poisson regression on a dataset of individuals where each individual had one row of data. The variable Sex, for example, had the incidence rate ratio 2.11 (95% CI 1.73-2.56, p&...
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### interpreting coefficient of Poisson regression, when dependent variable is a count variable [duplicate]

I have a question about the economic interpretation of Poisson regression. What is the economic interpretation of the coefficient when the dependent variable is a count variable? For example, for &...
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### How to interpret zero degrees of freedom on residual deviance

I'm wondering how to interpret residual deviance from a Poisson regression on 0 degrees of freedom? I have a dataframe with count data on events and number of people at risk for the disease, with ten ...
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### Recovering hazard rate for interacted Poisson model in R

I am implementing the Wooldridge Two Way Mundlak regression and have an interacted model like so: ...
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### ZIGP-Regression for count data/with AR features

assume I have time series count data that come from a zero inflated poisson distribution (ZIGP). My idea was to estimate a ZIGP-Regression with including AR-features (lagged values) among other ...
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### What is the adequate regression model for bounded, continuous but poisson-like data?

I am trying to compare the lodging resistance scores of different wheat cultivars in an agronomic trial. Lodging is the phenomenon in which wheat plant can bend and lean closer to the ground as a ...