Questions tagged [incidence-rate-ratio]
85 questions
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Interpretation of incidence-rate ratios
So, I want to fit a random effects negative-binomial model. For such a model STATA can produce exponentiated coefficients. According to the help file such coefficients can be interpreted as incidence-rate ratios. Unfortunately I am not a native…

Adrian
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Survival rate trends in case-control studies
I submitted an article which was rejected due to the improper way of performing the survival analysis. The referee left no other details or explanations other than: "survival analysis on time trends requires more sophisticated ways of…

Frank49
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Calculate incidence rates using poisson model: relation to hazard ratio from Cox PH model
I want to calculate incidence rates to present along hazard ratio's in order to present both relative and absolute measures of risk. I saw in other studies that such incidence rates can be calculated using poisson models with follow-up time in the…

Rob
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Comparing incidence rates
I want to compare to incidence rate's between two groups (one without a disease and one with).
I was planning to calculate the incidence rate ratio (IRR), i.e. incidence rate group B/ incidence rate group A, and then test if this rate equals to 1,…

Edwin
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How to handle count data (categorical data), when it has been converted to a rate?
I am working on disease infection data, and I am puzzled on whether to handle the data as "categorical" or "continuous".
"Infection Count"
the number of infection cases found in a specific period of time, the count
is generated from…

lokheart
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Calculate probability of disease appearance
I am a doctor so please be kind with me and my basic understanding of statistics.
I have a dataset consisting of patients and their visits and I have labelled the presence of a specific kind of mole in their left and/or right hand with {0,1} values…

azal
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Incidence Rate Ratio (IRR) in R from linear regression using log-transformed data?
I was wondering if it would make sense to calculate IRR for OLS (not poisson), but the OLS is done using log-transformed data?
I have a set of crude death rate data (which I'm still debating whether they are count data (because they are, after all,…

user28610
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5
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Comparing multiple incidence rates
I asked the following question on stack overflow yesterday:
Negative binomial function in R
Reading comment 2, I understand that I cannot use a negative binomial modeling approach (a Poisson model works, but I suspect the assumption of equal mean…

Misha
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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 not sure if the results make sense. These are the…

spore234
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Alternative name for "incidence rate ratio"
I'm using a negative binomial GLM to predict individual level scores on a psychometric test that ranges from 0-27 and presenting the coefficient "incidence rate ratios".
It seems a little strange to use the term "incidence rate ratio" when actually…

fmark
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Is calculating Incidence Rate Difference/Ratio appropriate for single case experimental design?
(This is part-2 of my long question, you can have a look at part-1 here)
I am going to do a quasi-experiment, with measuring the base line of a sample (actually not quite a sample, but a ward, with high patient turn-over rate), and then we do a…

lokheart
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Interpretation of log transformed predictor in negative binomial regression
I mainly want to make sure that I'm making the correct interpretation here.
I built a negative binomial regression model predicting a count variable. There was evidence of overdispersion or I would have used regular Poisson. The predictor variable…

Joe
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Comparing the ratios of occurrences
There are two groups:
treatment
control.
Each group has three categories of outcomes:
High
medium and
low blood pressure.
The number of subjects is 100 for each group.
Now, let's say, for control group, the number of observations is 40, 40, 20…

Jen
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Meta-analysis with random effects on prevalence data with > 2 possible outcomes: is it necessary that the weighted prevalences all add up to 100?
I am running a meta analysis on prevalence data. Participants can belong to one of four groups. Each study produces the percentage of participants that belong to each group (e.g., Group A: 50%; Group B: 20%; Group C: 10%; Group D: 20%).
I am running…

Dave
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Incident rate ratios with log-transformed variables in Poisson regression
I'm in a bit of a mess with interpreting the output of a Poisson regression model with log-transformed predictors. The predictors are counts, and the log transforms them for the linear part of model.
glm(y ~ log(x1) + log(x2), data=dt,…

Mainard
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